ARE PROTEINS IDEAL MIXTURES OF AMINO-ACIDS - ANALYSIS OF ENERGY PARAMETER SETS

被引:135
作者
GODZIK, A [1 ]
KOLINSKI, A [1 ]
SKOLNICK, J [1 ]
机构
[1] UNIV WARSAW, DEPT CHEM, PL-02049 WARSAW, POLAND
关键词
EMPIRICAL PARAMETER SETS; PROTEIN STRUCTURE DATABASE; SIMPLIFIED ENERGY CALCULATIONS;
D O I
10.1002/pro.5560041016
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
Various existing derivations of the effective potentials of mean force for the two-body interactions between amino acid side chains in proteins are reviewed and compared to each other. The differences between different parameter sets can be traced to the reference state used to define the zero of energy. Depending on the reference state, the transfer free energy or other pseudo-one-body contributions can be present to various extents in two-body parameter sets. It is, however, possible to compare various derivations directly by concentrating on the ''excess'' energy-a term that describes the difference between a:real protein and an ideal solution of amino acids. Furthermore, the number of protein structures available for analysis allows one to check the consistency of the derivation and the errors by comparing parameters derived from various subsets of the whole database. It is shown that pair interaction preferences are very consistent throughout the database. Independently derived parameter sets have correlation coefficients on the order of 0.8, with the mean difference between equivalent entries of 0.1kT. Also, the low-quality (low resolution, little or no refinement) structures show similar regularities. There are, however, large differences between interaction parameters derived on the basis of crystallographic structures and structures obtained by the NMR refinement. The origin of the latter difference is not yet understood.
引用
收藏
页码:2107 / 2117
页数:11
相关论文
共 47 条
[21]  
Hill T. L., 1956, STATISTICAL MECHANIC
[22]   A LATTICE MODEL FOR PROTEIN-STRUCTURE PREDICTION AT LOW RESOLUTION [J].
HINDS, DA ;
LEVITT, M .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1992, 89 (07) :2536-2540
[23]  
HOBOHM U, 1994, PROTEIN SCI, V3, P522
[24]  
HOBOHM U, 1992, PROTEIN SCI, V1, P409
[25]   DOES FLORY-HUGGINS THEORY HELP IN INTERPRETING SOLUTE PARTITIONING EXPERIMENTS [J].
HOLTZER, A .
BIOPOLYMERS, 1994, 34 (03) :315-320
[26]   THE ORIGINS OF PROTEIN SECONDARY STRUCTURE - EFFECTS OF PACKING DENSITY AND HYDROGEN-BONDING STUDIED BY A FAST CONFORMATIONAL SEARCH [J].
HUNT, NG ;
GREGORET, LM ;
COHEN, FE .
JOURNAL OF MOLECULAR BIOLOGY, 1994, 241 (02) :214-225
[27]   A NEW APPROACH TO PROTEIN FOLD RECOGNITION [J].
JONES, DT ;
TAYLOR, WR ;
THORNTON, JM .
NATURE, 1992, 358 (6381) :86-89
[28]   3-DIMENSIONAL MODEL OF THE MYOGLOBIN MOLECULE OBTAINED BY X-RAY ANALYSIS [J].
KENDREW, JC ;
BODO, G ;
DINTZIS, HM ;
PARRISH, RG ;
WYCKOFF, H ;
PHILLIPS, DC .
NATURE, 1958, 181 (4610) :662-666
[29]   MONTE-CARLO SIMULATIONS OF PROTEIN-FOLDING .2. APPLICATION TO PROTEIN-A, ROP, AND CRAMBIN [J].
KOLINSKI, A ;
SKOLNICK, J .
PROTEINS-STRUCTURE FUNCTION AND GENETICS, 1994, 18 (04) :353-366
[30]   MONTE-CARLO SIMULATIONS OF PROTEIN-FOLDING .1. LATTICE MODEL AND INTERACTION SCHEME [J].
KOLINSKI, A ;
SKOLNICK, J .
PROTEINS-STRUCTURE FUNCTION AND GENETICS, 1994, 18 (04) :338-352