Predicting DNA-binding amino acid residues from electrostatic stabilization upon mutation to Asp/Glu and evolutionary conservation

被引:18
作者
Chen, Yao Chi
Wu, Chih Yuan
Lim, Carmay [1 ]
机构
[1] Acad Sinica, Inst Biomed Sci, Taipei 115, Taiwan
[2] Natl Tsing Hua Univ, Dept Chem, Hsinchu 300, Taiwan
关键词
DNA-binding proteins; protein-DNA; interaction; functional annotation; protein functional sites;
D O I
10.1002/prot.21366
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
Binding of polyanionic DNA depends on the cluster of electropositive atoms in the binding site of a DNA-binding protein. Such a cluster of electropositive protein atoms would be electrostatically unfavorable without stabilizing interactions from the respective electronegative DNA atoms and would likely be evolutionary conserved due to its critical biological role. Consequently, our strategy for predicting DNA-binding residues is based on detecting a cluster of evolutionary conserved surface residues that are electrostatically stabilized upon mutation to negatively charged Asp/Glu residues. The method requires as input the protein structure and sufficient sequence homologs to define each residue's relative conservation, and it yields as output experimentally testable residues that are predicted to bind DNA. By incorporating characteristic DNA-binding site features (i.e., electrostatic strain and amino acid conservation), the new method yieldsa prediction accuracy of 83%, which is much higher than methods based on only electrostatic strain (57%) or conservation alone (50%). It is also less sensitive to protein conformational changes upon DNA binding than methods that mainly depend. on the 3D protein structure.
引用
收藏
页码:671 / 680
页数:10
相关论文
共 35 条
[1]   Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information [J].
Ahmad, S ;
Gromiha, MM ;
Sarai, A .
BIOINFORMATICS, 2004, 20 (04) :477-486
[2]   The Protein Data Bank [J].
Berman, HM ;
Battistuz, T ;
Bhat, TN ;
Bluhm, WF ;
Bourne, PE ;
Burkhardt, K ;
Iype, L ;
Jain, S ;
Fagan, P ;
Marvin, J ;
Padilla, D ;
Ravichandran, V ;
Schneider, B ;
Thanki, N ;
Weissig, H ;
Westbrook, JD ;
Zardecki, C .
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2002, 58 :899-907
[3]   Kernel-based machine learning protocol for predicting DNA-binding proteins [J].
Bhardwaj, N ;
Langlois, RE ;
Zhao, GJ ;
Lu, H .
NUCLEIC ACIDS RESEARCH, 2005, 33 (20) :6486-6493
[4]   A graph-theory algorithm for rapid protein side-chain prediction [J].
Canutescu, AA ;
Shelenkov, AA ;
Dunbrack, RL .
PROTEIN SCIENCE, 2003, 12 (09) :2001-2014
[5]   Prediction of functionally important residues based solely on the computed energetics of protein structure [J].
Elcock, AH .
JOURNAL OF MOLECULAR BIOLOGY, 2001, 312 (04) :885-896
[6]   ConSurf: Identification of Functional Regions in Proteins by Surface-Mapping of Phylogenetic Information [J].
Glaser, F ;
Pupko, T ;
Paz, I ;
Bell, RE ;
Bechor-Shental, D ;
Martz, E ;
Ben-Tal, N .
BIOINFORMATICS, 2003, 19 (01) :163-164
[7]   The role of water in protein-DNA recognition [J].
Jayaram, B ;
Jain, T .
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 2004, 33 :343-361
[8]   Free-energy component analysis of 40 protein-DNA complexes: A consensus view on the thermodynamics of binding at the molecular level [J].
Jayaram, B ;
McConnell, K ;
Dixit, SB ;
Das, A ;
Beveridge, DL .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 2002, 23 (01) :1-14
[9]   Using electrostatic potentials to predict DNA-binding sites on DNA-binding proteins [J].
Jones, S ;
Shanahan, HP ;
Berman, HM ;
Thornton, JM .
NUCLEIC ACIDS RESEARCH, 2003, 31 (24) :7189-7198
[10]   Using structural motif templates to identify proteins with DNA binding function [J].
Jones, S ;
Barker, JA ;
Nobeli, I ;
Thornton, JM .
NUCLEIC ACIDS RESEARCH, 2003, 31 (11) :2811-2823