Literature DB >> 18514578

Protein ligand interaction database (PLID).

A Srinivas Reddy1, H S Durga Amarnath, Raju S Bapi, G Madhavi Sastry, G Narahari Sastry.   

Abstract

A comprehensive database named, protein ligand interaction database (PLID), is created with 6295 ligands bound to proteins extracted from the protein data bank (PDB). This is by far the most comprehensive database of physico-chemical properties, quantum mechanical descriptors and the residues present in the active site of proteins. It is a publicly available web-based database (via the Internet) at http://203.199.182.73/gnsmmg/databases/plid/.

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Year:  2008        PMID: 18514578     DOI: 10.1016/j.compbiolchem.2008.03.017

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  6 in total

1.  Contribution of cation-π interactions to the stability of Sm/LSm oligomeric assemblies.

Authors:  Ivana D Mucić; Milan R Nikolić; Srđan Đ Stojanović
Journal:  Protoplasma       Date:  2014-11-19       Impact factor: 3.356

Review 2.  Connecting synthetic chemistry decisions to cell and genome biology using small-molecule phenotypic profiling.

Authors:  Bridget K Wagner; Paul A Clemons
Journal:  Curr Opin Chem Biol       Date:  2009-10-12       Impact factor: 8.822

3.  GIANT: pattern analysis of molecular interactions in 3D structures of protein-small ligand complexes.

Authors:  Kota Kasahara; Kengo Kinoshita
Journal:  BMC Bioinformatics       Date:  2014-01-14       Impact factor: 3.169

4.  ProtCID: a data resource for structural information on protein interactions.

Authors:  Qifang Xu; Roland L Dunbrack
Journal:  Nat Commun       Date:  2020-02-05       Impact factor: 14.919

5.  Specificity rendering 'hot-spots' for aurora kinase inhibitor design: the role of non-covalent interactions and conformational transitions.

Authors:  Preethi Badrinarayan; G Narahari Sastry
Journal:  PLoS One       Date:  2014-12-08       Impact factor: 3.240

6.  STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data.

Authors:  Damian Szklarczyk; Alberto Santos; Christian von Mering; Lars Juhl Jensen; Peer Bork; Michael Kuhn
Journal:  Nucleic Acids Res       Date:  2015-11-20       Impact factor: 16.971

  6 in total

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