Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Yanrui Ding"'
Autor:
Jingsi Ji, Yanrui Ding
Publikováno v:
IEEE Access, Vol 8, Pp 89439-89447 (2020)
A new type of residue interaction network named residue interaction energy network (RINN) is built. Then, a multi-objective optimization dynamic network community discovery algorithm T-DYNMOGA-Qw has been proposed to detect communities from dynamic R
Externí odkaz:
https://doaj.org/article/7a1d59c141244d64a993a69203844a4f
Identification of the Key Factors Related to Bladder Cancer by lncRNA-miRNA-mRNA Three-Layer Network
Publikováno v:
Frontiers in Genetics, Vol 10 (2020)
Bladder cancer is the most common malignant tumor of the urinary system, and it has high incidence, high degree of malignancy, and easy recurrence after surgery. The etiology and pathogenesis of bladder cancer are not fully understood, but more and m
Externí odkaz:
https://doaj.org/article/c1491e8c6a894f02a6c720be3ef183cf
Autor:
Yanrui Ding, Songtao Huang
Publikováno v:
Letters in Drug Design & Discovery. 19:800-810
Background: Drug repositioning is an important subject in drug-disease research. In the past, most studies simply used drug descriptors as the feature vector to classify drugs or targets or used qualitative data about drug-target or drug-disease to p
Autor:
Yanrui Ding, Shu Cheng
Publikováno v:
Current Computer-Aided Drug Design. 17:785-796
Background: Quantitative Structure Activity Relationship (QSAR) methods based on machine learning play a vital role in predicting biological effect. Objective: Considering the characteristics of the binding interface between ligands and the inhibitor
Publikováno v:
Biologia. 76:3489-3499
The oncogenesis and progression of thyroid cancer (THCA) involve multiple pathways. Identification of potential interaction mechanisms of pathways related to the pathogenesis of THCA is key to the accuracy of diagnosis and treatment. We selected 8 FD
Publikováno v:
Cancer Genetics. :40-47
Clear cell renal cell carcinoma (ccRCC), with an increasing incidence rate, is one of the ubiquitous cancers. Its pathogenic factors are complicated and the molecular mechanism is not clear. It is essential to analyze the potential key genes related
Autor:
Songtao Huang, Yanrui Ding
Publikováno v:
Letters in Drug Design & Discovery. 19
Background: Predicting protein-peptide binding affinity is one of the leading research subjects in peptide drug design and repositioning. In previous studies, models constructed by researchers just used features of peptide structures. These features
Publikováno v:
International Journal of Peptide Research and Therapeutics. 27:1933-1944
Peptide drugs are generally compounds with 2–50 amino acids connected by peptide bonds and having drug effects. Because of their unique advantages such as significant activity, strong specificity, and low toxicity, some of them are applied in the t
Autor:
Chen Zhang, Yanrui Ding
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:686-696
Residue-residue interactions are the basis of protein thermostability. The molecular conformations of Streptomyces lividans xylanase (xyna_strli) and Thermoascus aurantiacus xylanase (xyna_theau) at 300K, 325K and 350K were obtained by Molecular Dyna
Autor:
Yanrui Ding, Ruilin Zhang
Publikováno v:
Current Computer-Aided Drug Design. 16:725-733
Introduction: The research and development of drugs, related to the central nervous system (CNS) diseases is a long and arduous process with high cost, long cycle and low success rate. Identification of key features based on available CNS drugs is of