about
Systems Pharmacology in Small Molecular Drug DiscoveryIdentification of Potential Antituberculosis Drugs Through Docking and Virtual Screening.Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target.Considering Rotatability of Hydroxyl Groups for the Active Site Residues of MMP-13 in Retrospective Virtual Screening Campaigns.The Next Era: Deep Learning in Pharmaceutical Research.Docking pose selection by interaction pattern graph similarity: application to the D3R grand challenge 2015.Effects of protein-protein interactions and ligand binding on the ion permeation in KCNQ1 potassium channel.IR Spectra of Different O2-Content Hemoglobin from Computational Study: Promising Detector of Hemoglobin Variant in Medical Diagnosis.Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.Correlation between Virtual Screening Performance and Binding Site Descriptors of Protein Targets.
P2860
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P2860
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Machine learning in computational docking.
@en
Machine learning in computational docking.
@nl
type
label
Machine learning in computational docking.
@en
Machine learning in computational docking.
@nl
prefLabel
Machine learning in computational docking.
@en
Machine learning in computational docking.
@nl
P1476
Machine learning in computational docking
@en
P2093
Mohamed A Khamis
Walaa F Ahmed
P304
P356
10.1016/J.ARTMED.2015.02.002
P50
P577
2015-02-16T00:00:00Z