AffinDB: a freely accessible database of affinities for protein-ligand complexes from the PDB

被引:76
作者
Block, Peter [1 ]
Sotriffer, Christoph A. [1 ]
Dramburg, Ingo [1 ]
Klebe, Gerhard [1 ]
机构
[1] Univ Marburg, Dept Pharmaceut Chem, D-35032 Marburg, Germany
关键词
D O I
10.1093/nar/gkj039
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
AffinDB is a database of affinity data for structurally resolved protein-ligand complexes from the Protein Data Bank (PDB). It is freely accessible at http://www.agklebe.de/affinity. Affinity data are collected from the scientific literature, both from primary sources describing the original experimental work of affinity determination and from secondary references which report affinity values determined by others. AffinDB currently contains over 730 affinity entries covering more than 450 different protein-ligand complexes. Besides the affinity value, PDB summary information and additional data are provided, including the experimental conditions of the affinity measurement (if available in the corresponding reference); 2D drawing, SMILES code and molecular weight of the ligand; links to other databases, and bibliographic information. AffinDB can be queried by PDB code or by any combination of affinity range, temperature and pH value of the measurement, ligand molecular weight, and publication data (author, journal and year). Search results can be saved as tabular reports in text files. The database is supposed to be a valuable resource for researchers interested in biomolecular recognition and the development of tools for correlating structural data with affinities, as needed, for example, in structure-based drug design.
引用
收藏
页码:D522 / D526
页数:5
相关论文
共 29 条
  • [1] Molecular recognition of protein-ligand complexes: Applications to drug design
    Babine, RE
    Bender, SL
    [J]. CHEMICAL REVIEWS, 1997, 97 (05) : 1359 - 1472
  • [2] The Protein Data Bank
    Berman, HM
    Westbrook, J
    Feng, Z
    Gilliland, G
    Bhat, TN
    Weissig, H
    Shindyalov, IN
    Bourne, PE
    [J]. NUCLEIC ACIDS RESEARCH, 2000, 28 (01) : 235 - 242
  • [3] Prediction of binding constants of protein ligands: A fast method for the prioritization of hits obtained from de novo design or 3D database search programs
    Bohm, HJ
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1998, 12 (04) : 309 - 323
  • [5] E-MSD: the European Bioinformatics Institute Macromolecular Structure Database
    Boutselakis, H
    Dimitropoulos, D
    Fillon, J
    Golovin, A
    Henrick, K
    Hussain, A
    Ionides, J
    John, M
    Keller, PA
    Krissinel, E
    McNeil, P
    Naim, A
    Newman, R
    Oldfield, T
    Pineda, J
    Rachedi, A
    Copeland, J
    Sitnov, A
    Sobhany, S
    Suarez-Uruena, A
    Swaminathan, J
    Tagari, M
    Tate, J
    Tromm, S
    Velankar, S
    Vranken, W
    [J]. NUCLEIC ACIDS RESEARCH, 2003, 31 (01) : 458 - 462
  • [6] Virtual screening for submicromolar leads of tRNA-guanine transglycosylase based on a new unexpected binding mode detected by crystal structure analysis
    Brenk, R
    Naerum, L
    Grädler, U
    Gerber, HD
    Garcia, GA
    Reuter, K
    Stubbs, MT
    Klebe, G
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2003, 46 (07) : 1133 - 1143
  • [7] Chen X, 2001, COMB CHEM HIGH T SCR, V4, P719
  • [8] Empirical scoring functions .1. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
    Eldridge, MD
    Murray, CW
    Auton, TR
    Paolini, GV
    Mee, RP
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1997, 11 (05) : 425 - 445
  • [9] Gasteiger J., 1990, TetrahedronComput. Methodol, V3, P537, DOI DOI 10.1016/0898-5529(90)90156-3
  • [10] Utilising structural knowledge in drug design strategies:: Applications using relibase
    Günther, J
    Bergner, A
    Hendlich, M
    Klebe, G
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 2003, 326 (02) : 621 - 636