Large-Scale Quantitative Assessment of Binding Preferences in Protein-Nucleic Acid Complexes

被引:12
|
作者
Jakubec, David [1 ]
Hostas, Jiri [1 ]
Laskowski, Roman A. [2 ]
Hobza, Pavel [1 ]
Vondrasek, Jiri [1 ]
机构
[1] Inst Organ Chem & Biochem, Prague 16010 6, Czech Republic
[2] EMBL EBI, Cambridge CB10 1SD, England
关键词
REPRESSOR-OPERATOR COMPLEX; CRYSTAL-STRUCTURE; DNA INTERACTIONS; FORCE-FIELD; HYDROGEN-BONDS; BASE; SIDE; SPECIFICITY; POTENTIALS; SYSTEM;
D O I
10.1021/ct501168n
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The growing number of high-quality experimental (X-ray, NMR) structures of protein-DNA complexes has sufficient enough information to assess whether universal rules governing the DNA sequence recognition process apply. While previous studies have investigated the relative abundance of various modes of amino acid-base contacts (van der Waals contacts, hydrogen bonds), relatively little is known about the energetics of these noncovalent interactions. In the present study, we have performed the first large-scale quantitative assessment of binding preferences in protein-DNA complexes by calculating the interaction energies in all 80 possible amino acid-DNA base combinations. We found that several mutual amino acid-base orientations featuring bidentate hydrogen bonds capable of unambiguous one-to-one recognition correspond to unique minima in the potential energy space of the amino acid-base pairs. A clustering algorithm revealed that these contacts form a spatially well-defined group offering relatively little conformational freedom. Various molecular mechanics force field and DFT-D ab initio calculations were performed, yielding similar results.
引用
收藏
页码:1939 / 1948
页数:10
相关论文
共 50 条
  • [21] PROTEIN-NUCLEIC ACID INTERACTIONS
    DAMODARAN, S
    KINSELLA, JE
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1983, 186 (AUG): : 21 - AGFD
  • [22] Accurate prediction of protein-nucleic acid complexes using RoseTTAFoldNA
    Baek, Minkyung
    Mchugh, Ryan
    Anishchenko, Ivan
    Jiang, Hanlun
    Baker, David
    DiMaio, Frank
    NATURE METHODS, 2024, 21 (01) : 117 - 121
  • [23] DBBP: database of binding pairs in protein-nucleic acid interactions
    Park, Byungkyu
    Kim, Hyungchan
    Han, Kyungsook
    BMC BIOINFORMATICS, 2014, 15
  • [24] DBBP: database of binding pairs in protein-nucleic acid interactions
    Byungkyu Park
    Hyungchan Kim
    Kyungsook Han
    BMC Bioinformatics, 15
  • [25] A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs
    Miao, Zhichao
    Westhof, Eric
    PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (12)
  • [26] Thorough Assessment of Machine Learning Techniques for Predicting Protein-Nucleic Acid Binding Hot Spots
    Zou, Xianzhe
    Zhang, Chen
    Tang, Mingyan
    Deng, Lei
    CURRENT BIOINFORMATICS, 2024, 19 (02) : 144 - 161
  • [27] Complex transitions in large protein-nucleic complexes from computer simulations
    Feig, Michael
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [28] The emerging role of MS in structure elucidation of protein-nucleic acid complexes
    Gordiyenko, Yuliya
    Robinson, Carol V.
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2008, 36 : 723 - 731
  • [29] DARK FIELD ELECTRON-MICROSCOPY OF PROTEIN-NUCLEIC ACID COMPLEXES
    KORN, AP
    ISRAEL JOURNAL OF MEDICAL SCIENCES, 1981, 17 (04): : 305 - 305