Can We Rely on Computational Predictions To Correctly Identify Ligand Binding Sites on Novel Protein Drug Targets? Assessment of Binding Site Prediction Methods and a Protocol for Validation of Predicted Binding Sites.
about
Agonist Binding to Chemosensory Receptors: A Systematic Bioinformatics AnalysisPossible binding sites and interactions of propanidid and AZD3043 within the γ-aminobutyric acid type A receptor (GABAAR).Identification of new allosteric sites and modulators of AChE through computational and experimental tools.P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
P2860
Can We Rely on Computational Predictions To Correctly Identify Ligand Binding Sites on Novel Protein Drug Targets? Assessment of Binding Site Prediction Methods and a Protocol for Validation of Predicted Binding Sites.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Can We Rely on Computational P ...... on of Predicted Binding Sites.
@en
type
label
Can We Rely on Computational P ...... on of Predicted Binding Sites.
@en
prefLabel
Can We Rely on Computational P ...... on of Predicted Binding Sites.
@en
P2860
P1476
Can We Rely on Computational P ...... on of Predicted Binding Sites.
@en
P2093
Neal K Broomhead
P2860
P2888
P356
10.1007/S12013-016-0769-Y
P577
2016-10-31T00:00:00Z
P6179
1020526531