Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets， followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established ， and the zebrafish were treated with L. ruthenicum Murr. extract （LRME） at concentrations of 0.1， 0.2 and 0.4 mg/mL， respectively； 24 h later， behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 （IL-6）， IL-1β， IL-10， tumor necrosis factor-α （TNF-α）]， oxidative stress markers [superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， catalase （CAT）]， and neurotransmitters [5- hydroxytryptamine （5-HT）， γ-aminobutyric acid （GABA）， glutamic acid （Glu）， dopamine （DA）， and norepinephrine （NE）] were measured. The protein expression levels of protein kinase B1 （AKT1）， phosphorylated AKT1 （p-AKT1）， epidermal growth factor receptor （EGFR）， B-cell lymphoma 2 （Bcl-2）， sarcoma proto-oncogene，non-receptor tyrosine kinase （SRC）， and heat shock protein 90α family class A member 1 （HSP90AA1） in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these， apigenin， naringenin and others were recognized as core active compounds， while AKT1， EGFR and others served as key targets； EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-， medium-， and high-dose groups were 54.60%， 69.03% and 77.97%， 开发。E-mail：hjp_yft@163.com respectively， while the inhibition ratios of locomotor distance were 0.57， 0.83 and 0.95， respectively. Compared with the model group， the number of resting counts， resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups （P＜0.05）. Neuronal damage in the brain was alleviated. Additionally， the levels of IL-6， IL-1β， TNF-α， MDA， Glu， DA and NE， as well as the protein expression levels of AKT1， p-AKT1， EGFR， SRC and HSP90AA1， were markedly reduced （P＜0.05）， while the levels of IL-10， SOD， GSH-Px， CAT， 5-HT and GABA， as well as Bcl-2 protein expression， were significantly elevated （P＜0.05）. CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects， and its specific mechanism may be related to the regulation of inflammatory responses， oxidative stress， neurotransmitter balance， and the EGFR tyrosine kinase inhibitor resistance signaling pathway.

Objective: To explore the association of outdoor activity time and sleep duration with screening myopia in primary school students, so as to provide strategies for myopia prevention. Methods: Through a convenience sampling method, a survey was conducted among 4 248 primary school students aged 7-13 years from three primary schools in Xihu District, Nanchang City, Jiangxi Province from May to July, 2023. The average daily outdoor activity time and sleep duration on both weekdays and weekends were investigated in primary school students by using a self designed questionnaire. Uncorrected visual acuity tests and non cycloplegic autorefraction were measured by professional optometrists. Inter group comparisons were conducted using the Chi square test. Logistic regression model was used to analyze the association of outdoor activity time and sleep duration with screening myopia. Results: The detection rate of screening myopia in primary school students was 33.6%, with the rate in boys (32.0%) lower than that in girls (35.3%), and the difference was statistically significant ( χ 2=5.11, P =0.02). The analysis results of Logistic regression showed that after adjusting for factors such as gender, grade and parental education level, both average daily outdoor activity time ＜2 h on both weekdays and weekends ( OR =1.27, 95% CI =1.11-1.46) and sleep duration <10 h ( OR =1.17, 95% CI =1.01- 1.35 ), as well as their combined effect ( OR =1.57, 95% CI =1.25-1.98), were associated with an increased risk of screening myopia in primary school students(all P <0.05). Subgroup analysis results indicated that compared to boys ( OR =1.46, 95% CI = 1.07 -1.99), girls( OR =1.73, 95% CI =1.22-2.44) with insufficient outdoor activity time and sleep duration had a higher risk of screening myopia(both P <0.05). Conclusions There is a negative correlation of outdoor activity time and sleep duration with screening myopia in primary school students. Outdoor activity time and extending sleep duration should be increased to reduce the risk of myopia in primary school students.

In the era of evidence-based medicine， the progress of medical science and technology has enriched medical diagnostic tools and treatment methods， but it has also led to the loss of medical warmth and the alienation of the doctor-patient relationships. William Osler emphasized that while medical technology advances， attention should also be paid to the practice of narrative medicine and the development of physician’s narrative literacy. The view of the physician he advocated reminds us that the core of medicine still lies in the narrative connection between doctors and patients， as well as a deep understanding of human nature. By exploring the relationship between Osler’s view of the physician and narrative medicine as well as physician’s narrative literacy， this paper analyzed the methods of cultivating physician’s narrative literacy， providing references for modern medical education and practice， and assisting in the harmony and unity of science and technology and humanity.

ObjectiveThis paper aims to evaluate the intervention effect of Gandou Fumu Decoction （GDFMD） in treating hepatolenticular degeneration with liver fibrosis of liver-kidney deficiency and phlegm-blood stasis syndrome， thereby providing evidence-based medical evidence for the treatment of Wilson's disease （WD）-related liver fibrosis with traditional Chinese medicine through clinical efficacy analysis. MethodsA total of 70 patients with WD-related liver fibrosis of liver-kidney deficiency and phlegm-blood stasis syndrome meeting the inclusion criteria were enrolled from Anhui Provincial Hospital of TCM from October 1， 2023， to October 1， 2024. Participants were divided into a control group and an observation group， with 35 cases in each group. The control group received conventional copper chelation therapy with sodium dimercaptopropanesulfonate （DMPS）. On this basis， the observation group was additionally administered GDFMD orally. Each treatment course lasted eight days， for a total of four treatment courses. Efficacy evaluations were performed before treatment and after the second and fourth treatment courses， respectively. The clinical efficacy and safety of GDFMD in the treatment of WD-related liver fibrosis were assessed by comparing the changes in liver stiffness measurement （LSM）， liver serological markers ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， type Ⅳ collagen （C-Ⅳ）， laminin （LN）， N-terminal propeptide of type Ⅲ procollagen （PⅢNP）， and hyaluronic acid （HA）］， fibrosis index based on 4 factors （FIB-4）， AST to platelet ratio index （APRI）， unified Wilson's disease rating scale part Ⅱ （UWDRS-Ⅱ）， traditional Chinese medicine （TCM） syndrome score， 24-hour urinary copper， and safety indicators between the two groups before and after treatment. ResultsCompared with those before treatment， LSM levels decreased in both groups after two and four treatment courses （P<0.05）. Compared with those after treatment， there was no statistically significant difference in the improvement of LSM levels in the observation group after two treatment courses， and the improvement of LSM levels in the observation group was more obvious after four treatment courses （P<0.05）. Compared with those before treatment， the levels of HA， LN， PⅢNP， and C-Ⅳ decreased in both groups after two and four treatment courses （P<0.05）. Compared with those after treatment， there was no statistically significant difference in the improvement of the C-Ⅳ levels in the observation group after two treatment courses， and the levels of HA， LN， and PⅢNP were more obvious （P<0.05）. After four treatment courses in the observation group， the levels of HA， LN， PⅢNP， and C-Ⅳ were improved more significantly （P<0.05）. Compared with those before treatment， ALT and AST levels decreased in both groups after two and four treatment courses （P<0.05）. Compared with the control group after treatment， there was no statistically significant difference in the improvement of ALT and AST levels in the observation group after two treatment courses， and the improvement of ALT and AST levels in the observation group was more obvious after four treatment courses （P<0.05）. Compared with those before treatment， APRI score and FIB-4 index level decreased in both groups after two and four treatment courses （P<0.05）. Compared with those in control group after treatment， there was no statistically significant difference in the improvement of APRI score and FIB-4 index level in the observation group after two treatment courses， and the APRI score in the observation group was more obvious after four treatment courses （P<0.05）， with no statistically significant improvement in the FIB-4 index difference. Compared with those before treatment， the levels of TCM syndrome scores decreased in both groups after two and four treatment courses （P<0.05）. Compared with that of the control group after treatment， there was no statistically significant difference in the improvement of the level of TCM syndrome scores in the observation group after two treatment courses， and the improvement of the level of TCM syndrome scores in the observation group was more obvious after four treatment courses （P<0.05）. Compared with those before treatment， the UWDRS-Ⅱ scores in both groups after two treatment courses were not improved obviously， and the UWDRS-Ⅱ scores in both groups decreased after four treatment courses （P<0.05）. Compared with those of the control group after treatment， there was no statistically significant difference in the improvement of the UWDRS-Ⅱ scores in the observation group after two treatment courses， and the improvement of the UWDRS-Ⅱ scores in the observation group after four treatment courses was more obvious （P<0.05）. Compared with those before treatment， the 24-h urine copper levels were significantly higher in both groups after two and four treatment courses （P<0.05）. Compared with those in the control group after treatment， the 24-h urine copper levels in the observation group were significantly higher after two and four treatment courses （P<0.01）. After two treatment courses， the 24-h urine copper level in the observation group showed a gradual decreasing trend， although it was higher than that before treatment. After four treatment courses， the control group had an improvement rate of 91.43%， an effective rate of 34.29%， and an apparent rate of 2.86%. The observation group had an improvement rate of 94.29%， an effective rate of 71.43%， and an apparent rate of 8.57%. The efficacy of the observation group was better than that of the control group （P<0.05）. Conclusion① The efficacy of GDFMD combined with DMPS therapy in patients with WD-related liver fibrosis of liver-kidney deficiency and phlegm-blood stasis syndrome is significantly better than that of single DMPS therapy， and the advantages of the combined therapy are more obvious with the prolongation of the treatment cycle. ② GDFMD combined with the DMPS therapy program in the long-term application exhibits no obvious adverse reactions with good safety， which is worthy of clinical popularization and application.

ObjectiveThis paper aims to evaluate the intervention effect of Gandou Fumu Decoction （GDFMD） in treating hepatolenticular degeneration with liver fibrosis of liver-kidney deficiency and phlegm-blood stasis syndrome， thereby providing evidence-based medical evidence for the treatment of Wilson's disease （WD）-related liver fibrosis with traditional Chinese medicine through clinical efficacy analysis. MethodsA total of 70 patients with WD-related liver fibrosis of liver-kidney deficiency and phlegm-blood stasis syndrome meeting the inclusion criteria were enrolled from Anhui Provincial Hospital of TCM from October 1， 2023， to October 1， 2024. Participants were divided into a control group and an observation group， with 35 cases in each group. The control group received conventional copper chelation therapy with sodium dimercaptopropanesulfonate （DMPS）. On this basis， the observation group was additionally administered GDFMD orally. Each treatment course lasted eight days， for a total of four treatment courses. Efficacy evaluations were performed before treatment and after the second and fourth treatment courses， respectively. The clinical efficacy and safety of GDFMD in the treatment of WD-related liver fibrosis were assessed by comparing the changes in liver stiffness measurement （LSM）， liver serological markers ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， type Ⅳ collagen （C-Ⅳ）， laminin （LN）， N-terminal propeptide of type Ⅲ procollagen （PⅢNP）， and hyaluronic acid （HA）］， fibrosis index based on 4 factors （FIB-4）， AST to platelet ratio index （APRI）， unified Wilson's disease rating scale part Ⅱ （UWDRS-Ⅱ）， traditional Chinese medicine （TCM） syndrome score， 24-hour urinary copper， and safety indicators between the two groups before and after treatment. ResultsCompared with those before treatment， LSM levels decreased in both groups after two and four treatment courses （P<0.05）. Compared with those after treatment， there was no statistically significant difference in the improvement of LSM levels in the observation group after two treatment courses， and the improvement of LSM levels in the observation group was more obvious after four treatment courses （P<0.05）. Compared with those before treatment， the levels of HA， LN， PⅢNP， and C-Ⅳ decreased in both groups after two and four treatment courses （P<0.05）. Compared with those after treatment， there was no statistically significant difference in the improvement of the C-Ⅳ levels in the observation group after two treatment courses， and the levels of HA， LN， and PⅢNP were more obvious （P<0.05）. After four treatment courses in the observation group， the levels of HA， LN， PⅢNP， and C-Ⅳ were improved more significantly （P<0.05）. Compared with those before treatment， ALT and AST levels decreased in both groups after two and four treatment courses （P<0.05）. Compared with the control group after treatment， there was no statistically significant difference in the improvement of ALT and AST levels in the observation group after two treatment courses， and the improvement of ALT and AST levels in the observation group was more obvious after four treatment courses （P<0.05）. Compared with those before treatment， APRI score and FIB-4 index level decreased in both groups after two and four treatment courses （P<0.05）. Compared with those in control group after treatment， there was no statistically significant difference in the improvement of APRI score and FIB-4 index level in the observation group after two treatment courses， and the APRI score in the observation group was more obvious after four treatment courses （P<0.05）， with no statistically significant improvement in the FIB-4 index difference. Compared with those before treatment， the levels of TCM syndrome scores decreased in both groups after two and four treatment courses （P<0.05）. Compared with that of the control group after treatment， there was no statistically significant difference in the improvement of the level of TCM syndrome scores in the observation group after two treatment courses， and the improvement of the level of TCM syndrome scores in the observation group was more obvious after four treatment courses （P<0.05）. Compared with those before treatment， the UWDRS-Ⅱ scores in both groups after two treatment courses were not improved obviously， and the UWDRS-Ⅱ scores in both groups decreased after four treatment courses （P<0.05）. Compared with those of the control group after treatment， there was no statistically significant difference in the improvement of the UWDRS-Ⅱ scores in the observation group after two treatment courses， and the improvement of the UWDRS-Ⅱ scores in the observation group after four treatment courses was more obvious （P<0.05）. Compared with those before treatment， the 24-h urine copper levels were significantly higher in both groups after two and four treatment courses （P<0.05）. Compared with those in the control group after treatment， the 24-h urine copper levels in the observation group were significantly higher after two and four treatment courses （P<0.01）. After two treatment courses， the 24-h urine copper level in the observation group showed a gradual decreasing trend， although it was higher than that before treatment. After four treatment courses， the control group had an improvement rate of 91.43%， an effective rate of 34.29%， and an apparent rate of 2.86%. The observation group had an improvement rate of 94.29%， an effective rate of 71.43%， and an apparent rate of 8.57%. The efficacy of the observation group was better than that of the control group （P<0.05）. Conclusion① The efficacy of GDFMD combined with DMPS therapy in patients with WD-related liver fibrosis of liver-kidney deficiency and phlegm-blood stasis syndrome is significantly better than that of single DMPS therapy， and the advantages of the combined therapy are more obvious with the prolongation of the treatment cycle. ② GDFMD combined with the DMPS therapy program in the long-term application exhibits no obvious adverse reactions with good safety， which is worthy of clinical popularization and application.

ObjectiveTo quantitatively evaluate the effect of phrenic nerve-abdominal muscle electrical stimulation on pulmonary ventilation distribution in stroke patients using electrical impedance tomography (EIT). MethodsThirty-five stroke patients were enrolled at the First Affiliated Hospital of Chongqing Medical University from September, 2024 to June, 2025, and all received standardized phrenic nerve-abdominal muscle electrical stimulation. Percentage of ventilation in gravity-dependent regions of interesting (ROI%), center of ventilation (COV), global inhomogeneity index (GI) and change in end-expiratory lung impedance (ΔEELI) were measured with EIT monitoring before treatment (T0), immediately after treatment (T1), and at five, ten, 15, 20, 25, 30, 40 and 50 minutes after treatment (T2 to T9). ResultsThere were significant differences in ROI% (F = 7.003, P < 0.001) and COV (F = 5.722, P < 0.001) at different time points, both peaking at T1, followed by a downward trend until T5. No significant differences were observed in GI (F = 1.849, P = 0.097) and ΔEELI (F = 0.208, P = 0.871) across time points; however, GI at T7 was lower than that at T0 (P < 0.05). ConclusionPhrenic nerve-abdominal muscle electrical stimulation can improve the ventilation ratio in gravity-dependent regions and shift the center of ventilation dorsally. The improvement in ventilation distribution generally peaks at the end of treatment and lasts for approximately 20 minutes.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

Objective To analyze the spatial and temporal distribution characteristics of hand-foot-mouth disease (HFMD) in Zibo City, to explore the key incidence areas, and to find a suitable prediction model, so as to provide reference for the prevention and control of HFMD. Methods The spatiotemporal clustering characteristics of HFMD in Zibo City from 2018 to 2023 were analyzed by using SaTScan 10.0.2 software and ArcGIS 10.7 software. A combination model of ARIMA and SVM was established, and the prediction results were verified and compared. Results Spatial clustering analysis showed that there was spatial clustering of the incidence of HFMD in various townships of Zibo City from 2020 to 2022. The high-high clustering areas and Getis-Ord hot spot areas were mainly concentrated in some main urban areas of Zhangdian District, Zichuan District, and Huantai County. A total of 2-5 aggregation areas were detected by spatiotemporal scanning analysis. The first-type aggregation areas were mainly concentrated in the towns of Zhangdian District, Huantai County, Linzi District, Zhoucun District and Gaoxin District. The aggregation months were July, August, September and November. The model prediction results showed that the ARIMA-SVM combined model was more accurate than the traditional ARIMA model. Conclusion There is a spatiotemporal clustering of hand-foot-mouth disease in Zibo City. The ARIMA-SVM combined model can be used to predict the incidence of hand-foot-mouth disease in Zibo City, and to strengthen health education and disease monitoring in high-risk areas and populations during the epidemic months.