Literature DB >> 12559926

Relibase: design and development of a database for comprehensive analysis of protein-ligand interactions.

Manfred Hendlich1, Andreas Bergner, Judith Günther, Gerhard Klebe.   

Abstract

Knowledge discovery from the exponentially growing body of structurally characterised protein-ligand complexes as a source of information in structure-based drug design is a major challenge in contemporary drug research. Given the need for powerful data retrieval, integration and analysis tools, Relibase was developed as a database system particularly designed to handle protein-ligand related problems and tasks. Here, we describe the design and functionality of the Relibase core database system. Features of Relibase include, e.g. the detailed analysis of superimposed ligand binding sites, ligand similarity and substructure searches, and 3D searches for protein-ligand and protein-protein interaction patterns. The broad range of functions provided in Relibase and its high level of data integration, along with its flexible and intuitive interface, makes Relibase an invaluable data mining tool which can significantly enhance the drug development process. An example, illustrating a 3D query for quarternary ligand nitrogen atoms interacting with aromatic ring systems in proteins, a pattern found in pharmaceutically relevant target proteins such as, e.g. acetylcholine-esterase, is discussed.

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Year:  2003        PMID: 12559926     DOI: 10.1016/s0022-2836(02)01408-0

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  74 in total

1.  PDBSiteScan: a program for searching for active, binding and posttranslational modification sites in the 3D structures of proteins.

Authors:  Vladimir A Ivanisenko; Sergey S Pintus; Dmitry A Grigorovich; Nickolay A Kolchanov
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test.

Authors:  John W Liebeschuetz; Jason C Cole; Oliver Korb
Journal:  J Comput Aided Mol Des       Date:  2012-02-28       Impact factor: 3.686

3.  PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.

Authors:  Chen Wang; Gang Hu; Kui Wang; Michal Brylinski; Lei Xie; Lukasz Kurgan
Journal:  Bioinformatics       Date:  2015-10-26       Impact factor: 6.937

4.  Comparison of substructural epitopes in enzyme active sites using self-organizing maps.

Authors:  Katrin Kupas; Alfred Ultsch; Gerhard Klebe
Journal:  J Comput Aided Mol Des       Date:  2004-11       Impact factor: 3.686

5.  Unsupervised guided docking of covalently bound ligands.

Authors:  Xavier Fradera; Jasmit Kaur; Jordi Mestres
Journal:  J Comput Aided Mol Des       Date:  2004-10       Impact factor: 3.686

6.  Here be dragons: docking and screening in an uncharted region of chemical space.

Authors:  Ruth Brenk; John J Irwin; Brian K Shoichet
Journal:  J Biomol Screen       Date:  2005-09-16

7.  Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.

Authors:  Shuxing Zhang; Alexander Golbraikh; Alexander Tropsha
Journal:  J Med Chem       Date:  2006-05-04       Impact factor: 7.446

8.  Incorporating partial matches within multi-objective pharmacophore identification.

Authors:  Simon J Cottrell; Valerie J Gillet; Robin Taylor
Journal:  J Comput Aided Mol Des       Date:  2007-01-04       Impact factor: 3.686

9.  Models of protein-ligand crystal structures: trust, but verify.

Authors:  Marc C Deller; Bernhard Rupp
Journal:  J Comput Aided Mol Des       Date:  2015-02-10       Impact factor: 3.686

10.  The effect of a tightly bound water molecule on scaffold diversity in the computer-aided de novo ligand design of CDK2 inhibitors.

Authors:  Alfonso T García-Sosa; Ricardo L Mancera
Journal:  J Mol Model       Date:  2005-12-23       Impact factor: 1.810

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