PL-PatchSurfer2: Improved Local Surface Matching-Based Virtual Screening Method That Is Tolerant to Target and Ligand Structure Variation.
about
Prediction of Local Quality of Protein Structure Models Considering Spatial Neighbors in Graphical Models.An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes.In silico structure-based approaches to discover protein-protein interaction-targeting drugs.A Novel Geometry-Based Approach to Infer Protein Interface Similarity.Advances in the Development of Shape Similarity Methods and Their Application in Drug Discovery
P2860
PL-PatchSurfer2: Improved Local Surface Matching-Based Virtual Screening Method That Is Tolerant to Target and Ligand Structure Variation.
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
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@en
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@nl
type
label
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@en
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@nl
prefLabel
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@en
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@nl
P2093
P2860
P356
P1476
PL-PatchSurfer2: Improved Loca ...... nd Ligand Structure Variation.
@en
P2093
Charles W Christoffer
Woong-Hee Shin
P2860
P304
P356
10.1021/ACS.JCIM.6B00163
P577
2016-08-08T00:00:00Z