Automated identification of crystallographic ligands using sparse-density representations.
about
Models of protein-ligand crystal structures: trust, but verifyThe solvent component of macromolecular crystals.Boxes of Model Building and Visualization.Estimation of the protein-ligand interaction energy for model building and validation.A distance geometry-based description and validation of protein main-chain conformationCrystal structures of the extracellular domains of the CrRLK1L receptor-like kinases ANXUR1 and ANXUR2.
P2860
Automated identification of crystallographic ligands using sparse-density representations.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Automated identification of cr ...... parse-density representations.
@en
Automated identification of cr ...... parse-density representations.
@nl
type
label
Automated identification of cr ...... parse-density representations.
@en
Automated identification of cr ...... parse-density representations.
@nl
prefLabel
Automated identification of cr ...... parse-density representations.
@en
Automated identification of cr ...... parse-density representations.
@nl
P2860
P1476
Automated identification of crystallographic ligands using sparse-density representations
@en
P2093
C G Carolan
P2860
P304
P356
10.1107/S1399004714008578
P577
2014-06-29T00:00:00Z