BACKGROUND:At present,measurement osteotomy technique and gap balance technique are the two main surgical methods in total knee arthroplasty.Both methods have their advantages and disadvantages.By adjusting the osteotomy angle,the gap balance technique can reduce the release of soft tissue and obtain a more balanced flexion and extension space.The clinical efficacy of gap balance technique is superior,but this surgical method lacks tools and is easily influenced by the surgeon's surgical experience and subjective judgment,with more errors.Measurement osteotomy technique has a short learning curve,but it relies on anatomic markers and is prone to many complications due to inaccurate positioning.In recent years,many instrument companies have successively developed and launched tools that can improve the quality of surgery.However,there are still few reports about the tool. OBJECTIVE:To compare the clinical efficacy of gap balance technique and measurement osteotomy technique under Offset Repo-Tensor in total knee arthroplasty,and explore the value of Offset Repo-Tensor in total knee arthroplasty. METHODS:The medical records of 85 patients with total knee arthroplasty were collected and divided into two groups according to the operation method.Group A consisted of 44 patients who underwent total knee arthroplasty using a gap balance technique combined with Offset Repo-Tensor.Group B consisted of 41 patients who underwent total knee arthroplasty using measurement osteotomy technique.Surgical time,American Knee Society Score,knee range of motion,changes in lower limb alignment,and postoperative complications were compared between the two groups to evaluate the clinical efficacy of gap balance technique combined with Offset Repo-Tensors in total knee arthroplasty. RESULTS AND CONCLUSION:(1)All 85 patients were followed up.(2)Postoperative knee range of motion in both groups was higher than that before surgery(P<0.05),and the improvement in group A was more significant than that in group B(P<0.05).(3)American Knee Society Score in both groups after surgery was higher than that before surgery(P<0.05),and the American Knee Society Score in group A was higher than that in group B at 2 weeks,1,3 months,and the last follow-up(P<0.05).(4)The operation time of group A was slightly shorter than that of group B,but the difference was not significant(P>0.05).(5)The lower limb alignment in both groups was improved after operation,but there was no significant difference between the two groups(P>0.05).(6)The complication rate of group A(2%)was lower than that of group B(7%),but there was no significant difference between the two groups(P>0.05).(7)It is indicated that compared with the measurement osteotomy technique,the combination of Offset Repo-Tensor and gap balance technique can elevate the clinical effect and improve the function and motion range of the knee joint.

Objective: To explore the molecular mechanism of resveratrol (RES) in the treatment of oral squamous cell carcinoma (OSCC) through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC. Methods: The Swiss Target Prediction(http://www.swisstargetprediction.ch), SEA (http://sea.bkslab.org)database, and Pharm mapper database(http://lilab-ecust.cn) were used to retrieve RES-related targets, and the DISGENET (www.disgenet.org), OMIM (https://omim.org) and GeneCards (https://www.genecards.org) databases were used to screen OSCC disease targets. The intersection of drugs and disease targets was determined, and Cytoscape 3.7.2 software was used to construct a "drug-diseasetarget pathway" network. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to construct a target protein interaction network, and the DAVID database was used for enrichment analysis of key proteins. Finally, molecular docking validation of key proteins was performed using AutoDock and PyMOL. The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC; western blot was used to determine the effect of resveratrol at different concentrations (50, 100) μmol/L on the expression of Src tyrosine kinase (SRC), epidermal growth factor receptor (EGFR), estrogen receptor gene 1 (ESR1), and phosphatidylinositol 3 kinase/protein kinase B (PI3K/AKT) signaling pathway proteins in OSCC HSC-3 cells. Results: A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified. A total of 116 potential common targets were obtained by intersecting drugs with disease targets. These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation, peptide tyrosine phosphorylation, transmembrane receptor protein tyrosine kinase signaling pathway, and positive regulation of RNA polymerase Ⅱ promoter transcription, and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects. The docking results of resveratrol with OSCC molecules indicated that key targets, such as EGFR, ESR1, and SRC, have good binding activity. The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC, EGFR, ESR1, p-PI3K, and p-AKT in HSC-3 cells in a dose-dependent manner. Conclusion RES can inhibit the expression of its targets EGFR, ESR1, SRC, p-PI3K, and p-AKT in OSCC cells.

With the rapid development of artificial intelligence technology,small molecule generation models have emerged as a significant research direction in the field of drug discovery.These models,including Generative Adversarial Networks(GANs),Variational Autoencoders(VAEs),and diffusion models,have proven to possess remarkable capabilities in optimizing drug properties and generating complex molecular structures.This article comprehensively analyzes the application of the aforementioned advanced technologies in the drug discovery process,demonstrating how they supplement and enhance traditional drug design methods.At the same time,it addresses the challenges facing current methods in terms of data quality,model complexity,computational cost,and generalization ability,with a prospect of future research directions.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.