Lyase acylation is a post-translational modification of proteins that plays a key role in cellular function,gene transcription and cellular metabolism.Meanwhile,lysine acylation is also involved in mul-tiple biological processes in life forms,and its abnormality may be associated with the occurrence and de-velopment of many diseases.Therefore,prediction of lysine acylation sites is important for the diagnosis and treatment of diseases.Although biomedical experiments can detect lysine acylation sites with high precision,they are costly and time-consuming.To address this problem,researchers have developed more convenient and efficient computational methods as an alternative to traditional biomedical experi-mental techniques.In this study,we developed a prediction model iKcr-RG based on a deep learning ap-proach,which employs a two-branching strategy using both ResNet and BiGRU to extract both local and global feature information from the original sequence encoding.To further improve the performance of the model,we innovatively designed a feature fusion method.After these optimizations,this study demon-strates stronger robustness and stability in unbalanced data.In the independent dataset results,specificity(Sp),sensitivity(Sn),accuracy(Acc)and Matthews correlation coefficient(MCC)were 0.8109,0.7902,0.7940,and 0.4978 respectively.The iKcr-RG model was better than existing prediction mod-els in predicting lysine acylation sites,and this study provides new ideas and methods for the application of deep learning in bioinformatics.

Lyase acylation is a post-translational modification of proteins that plays a key role in cellular function,gene transcription and cellular metabolism.Meanwhile,lysine acylation is also involved in mul-tiple biological processes in life forms,and its abnormality may be associated with the occurrence and de-velopment of many diseases.Therefore,prediction of lysine acylation sites is important for the diagnosis and treatment of diseases.Although biomedical experiments can detect lysine acylation sites with high precision,they are costly and time-consuming.To address this problem,researchers have developed more convenient and efficient computational methods as an alternative to traditional biomedical experi-mental techniques.In this study,we developed a prediction model iKcr-RG based on a deep learning ap-proach,which employs a two-branching strategy using both ResNet and BiGRU to extract both local and global feature information from the original sequence encoding.To further improve the performance of the model,we innovatively designed a feature fusion method.After these optimizations,this study demon-strates stronger robustness and stability in unbalanced data.In the independent dataset results,specificity(Sp),sensitivity(Sn),accuracy(Acc)and Matthews correlation coefficient(MCC)were 0.8109,0.7902,0.7940,and 0.4978 respectively.The iKcr-RG model was better than existing prediction mod-els in predicting lysine acylation sites,and this study provides new ideas and methods for the application of deep learning in bioinformatics.

According to the technology requirements of the fourth national survey of Chinese Materia Medica resources (pilot), suitable investigation method of exploration and suggestions for investigating Chinese Materia Medica resources was proposed based on the type of wetland and artificial water of Hongze Lake region. Environment of Hongze Lake and overview of wetland, present situation of ecology and vegetation and vegetation distribution were analyzed. Establishment of survey plan, selection of sample area and sample square and confirmation of representative water area survey plan were all suggested. The present study provide references for improving Chinese materia medica resources survey around Hongze Lake, and improving the technical specifications. It also provide references for investigating Chinese Materia Medica resources survey on similar ecological environment under the condition of artificial intervention.

As one of the most commonly used antifungal agents in clini-cal, there is significant inter-individual variability and serious adverse reactions in voriconazole with the influence of gene polymorphisms and some other non-genetic factors.Then the traditional medication mode is not suitable for voriconazole any more.This review aims to summarize the research actuality of pharmacokinetics of voriconazole based on gene poly-morphisms.We hope it will be useful for clinical rational medication.

Objective To study the values of glycosylated hemoglobin in screening for patients with prediabetic state in Guang-zhou region .Methods 525 Guangzhou people who had accepted health examination were enrolled and were subjected to oral glucose tolerance test(OGTT) .BIO-RAD D-10 automatic glycosylated hemoglobin analyzer was employed to detect their glycosylated he-moglobin A1c(GHbA1c) .OGTT results were served as diagnostic criteria ,Receiver operator characteristic (ROC) curve analysis was performed to obtain the optimal threshold of GHbA1c in diagnosing impaired glucose regulation (IGR) .Results The optimal threshold of GHbA1c in diagnosing IGR was 5 .95% .The sensitivities of GHbA1c≥5 .95% and GHbA1c≥5 .7% in diagnosing IGR were 53 .3% and 84 .8% ,respectively ,while their specificities were 72 .8% and 31 .0% ,respectively .The difference of sensitivity between GHbA1c≥5 .95% combined with FPG≥5 .6 mmol/L and GHbA1c≥5 .7% alone in diagnosing IGR showed no statistical significance(P= 0 .406) ,while the specificity increased obviously (P= 0 .000) .Conclusion The criteria of GHbA1c≥5 .7% can be used for prediabetic state screening but not for diagnosis .GHbA1c≥5 .95% combined with FPG≥5 .6 mmol/L can be used effectively for prediabetic state screening in Guangzhou people .

Objective To sequence the complete sequence of bocavirus I with sequence independent single primer amplification (SISPA-PCR). Methods To exclude the co-effection samples, all clinical samples of diarrhea cases were screened with special primers of rotavirus, astrovirus, adenovirus, calicivirus and bocavirus I . The virus were enriched through ultracentrifugation. Other nucleic acids,such as human and bacteria genomes, were degradated by DNase I and RNase. DNA of hocavirus was Amplificated with SISPA-PCR,then purificated ,cloned and sequenced. The sequences were alighmented in nr with blastn and assembled with DNAstar. Results A 4834bp sequence of hocavirus I were assembled. Conclusion SISPA-PCR is an economical and Efficient technique for sequence a virus complete genome.

Objective To investigate the mechanisms of astrocytes modulating neurons in rat supraoptic nucleus induced by hypotonic stimulation and the effect of 6-aminomethyl-3-methyl-4H-1,2,4-benzothiadiazine-1,1dioxide HCl(TAG,a antagonist for taurine) or carbenoxolone(CBX,a gap junction blocker)on the responses of astrocytes and neurons in SON.Methods Adult male Sprague-Dawley rats were divided into four groups: the control group was injected with 5.5ml/kg 0.9% NaCl solution into the caudal vein;the hypotonic group was injected with 5.5 ml/kg hypo-saline(0.83% glucose plus 0.3% NaCl);TAG + hypotonic and CBX + hypotonic groups were injected with TAG(100?mol/L) or CBX(10g/L) into the lateral ventricle respectively,and were injected 2 hours later with hypotonic saline into the caudal vein.With anti-Fos,anti-vasopressin(VP),anti-glycine receptor(GlyR),anti-glial fibrillary acidic protein(GFAP) and anti-connexin43(Cx43) immunofluorescent staining methods,the responses of neurons and astrocytes in SON were studied.Results In control rats,Fos-,VP-,and GlyR-expression in the neurons and GFAP-or Cx43-expression in the astrocytes were lower.In hypotonic rats,GFAP-,Cx43-and GlyR signals were more than those in control rats,while Fos-and VP-signals were less.Compared with those in hypotonic rats in TAG + hypotonic or CBX + hypotonic rats,GFAP-and Cx43-signals in the astrocytes were the same,GlyR-signals in the neurons decreased,and Fos-and VP-signals increased.Conclusion Hypotonic stimulation activates SON astrocytes,which then release taurine through gap junction signaling to the neurons and inhibit the release of VP from the neurons.