Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology

Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology

Item
http://www.wikidata.org/entity/Q28538149
Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screeningvSDC: a method to improve early recognition in virtual screening when limited experimental resources are availablePDB-wide collection of binding data: current status of the PDBbind database.Can structural features of kinase receptors provide clues on selectivity and inhibition? A molecular modeling studyIdentification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target.Actions of Huangqi decoction against rat liver fibrosis: a gene expression profiling analysis.Bufei Huoxue Capsule Attenuates PM2.5-Induced Pulmonary Inflammation in Mice.Improvements, trends, and new ideas in molecular docking: 2012-2013 in review.How Can Synergism of Traditional Medicines Benefit from Network Pharmacology?systemsDock: a web server for network pharmacology-based prediction and analysis.Data driven polypharmacological drug design for lung cancer: analyses for targeting ALK, MET, and EGFR.An automated framework for QSAR model building.Polypharmacology Within the Full Kinome: a Machine Learning Approach.Incorporating Protein Dynamics Through Ensemble Docking in Machine Learning Models to Predict Drug Binding.Systems pharmacology reveals the unique mechanism features of Shenzhu Capsule for treatment of ulcerative colitis in comparison with synthetic drugs
P2860

Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology

Item
http://www.wikidata.org/entity/Q28538149
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Combining machine learning sys ...... ility for network pharmacology
@ast
Combining machine learning sys ...... ility for network pharmacology
@en
Combining machine learning sys ...... ility for network pharmacology
@nl
type
label
Combining machine learning sys ...... ility for network pharmacology
@ast
Combining machine learning sys ...... ility for network pharmacology
@en
Combining machine learning sys ...... ility for network pharmacology
@nl
prefLabel
Combining machine learning sys ...... ility for network pharmacology
@ast
Combining machine learning sys ...... ility for network pharmacology
@en
Combining machine learning sys ...... ility for network pharmacology
@nl
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Combining machine learning sys ...... ility for network pharmacology
@en
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P2860
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P3181
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10.1371/JOURNAL.PONE.0083922
P407
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P921
P932