Literature DB >> 11812264

BindingDB: a web-accessible molecular recognition database.

X Chen1, M Liu, M K Gilson.   

Abstract

This paper presents an initial description of the BindingDB, a public web-accessible database of measured binding affinities for various molecular types (http://www.bindingdb.org). The BindingDB allows queries based upon a range of criteria, including chemical similarity or substructure, sequence homology, numerical criteria (e.g. delta G(o) < 5 kcal/mol) and reactant names (e.g. "lysozyme"). Principles of Human-Computer Interactions are being employed in creating the query interface and user-feedback is being solicited. The data specification includes significant experimental detail. A full dictionary has been created for isothermal titration calorimetry data in consultation with experimentalists and data dictionaries for enzyme-inhibition and other measurement techniques are being developed. Currently, the BindingDB contains several data sets of broad interest, such as antigen-antibody binding and cyclodextrin/small molecule binding. However, it is anticipated that online deposition by experimentalists will ultimately contribute to a larger flow of data. We are actively developing software and file specifications to facilitate such deposition.

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Year:  2001        PMID: 11812264     DOI: 10.2174/1386207013330670

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  40 in total

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5.  Binding site matching in rational drug design: algorithms and applications.

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8.  Optimal strategies for virtual screening of induced-fit and flexible target in the 2015 D3R Grand Challenge.

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9.  Structural descriptor database: a new tool for sequence-based functional site prediction.

Authors:  Juliana S Bernardes; Jorge H Fernandez; Ana Tereza R Vasconcelos
Journal:  BMC Bioinformatics       Date:  2008-11-25       Impact factor: 3.169

10.  Titration calorimetry standards and the precision of isothermal titration calorimetry data.

Authors:  Lina Baranauskienė; Vilma Petrikaitė; Jurgita Matulienė; Daumantas Matulis
Journal:  Int J Mol Sci       Date:  2009-06-18       Impact factor: 6.208

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