Folding protein models with a simple hydrophobic energy function:: The fundamental importance of monomer inside/outside segregation

被引:32
作者
de Araújo, AFP
机构
[1] Univ Brasilia, Dept Biol Celular, BR-70910900 Brasilia, DF, Brazil
[2] Univ Brasilia, Int Ctr Condensed Matter Phys, BR-70910900 Brasilia, DF, Brazil
关键词
D O I
10.1073/pnas.96.22.12482
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The present study explores a "hydrophobic" energy function for folding simulations of the protein lattice model. The contribution of each monomer to conformational energy is the product of its "hydrophobicity" and the number of contacts it makes, i.e., E((h) over right arrow, (c) over right arrow) = -Sigma(i=1)(N) c(i)h(i) = -((h) over right arrow,(c) over right arrow) is the negative scalar product between two vectors in N-dimensional cartesian space: h = (h(1), ..., h(N)), which represents monomer hydrophobicities and is sequence-dependent; and (c) over right arrow = (c(1,) ..., c(N)), which represents the number of contacts made by each monomer and is conformation-dependent. A simple theoretical analysis shows that restrictions are imposed concomitantly on both sequences and native structures if the stability criterion for protein-like behavior is to be satisfied. Given a conformation with vector c; the best sequence is a vector h on the direction upon which the projection of (c) over right arrow - (c) over right arrow is maximal, where (c) over right arrow is the diagonal vector with components equal to (c) over right arrow the average number of contacts per monomer in the unfolded state. Best native conformations are suggested to be not maximally compact, as assumed in many studies, but the ones with largest variance of contacts among its monomers. i.e., with monomers tending to occupy completely buried or completely exposed positions. This inside/outside segregation is reflected on an apolar/polar distribution on the corresponding sequence. Monte Carlo simulations in two dimensions corroborate this general scheme. Sequences targeted to conformations with large contact variances folded cooperatively with thermodynamics of a two-state transition. Sequences targeted to maximally compact conformations, wh ich have lower contact variance, were either found to have degenerate ground state or to fold with much tower cooperativity.
引用
收藏
页码:12482 / 12487
页数:6
相关论文
共 33 条
[1]   FREE-ENERGY LANDSCAPE FOR PROTEIN-FOLDING KINETICS - INTERMEDIATES, TRAPS, AND MULTIPLE PATHWAYS IN THEORY AND LATTICE MODEL SIMULATIONS [J].
ABKEVICH, VI ;
GUTIN, AM ;
SHAKHNOVICH, EI .
JOURNAL OF CHEMICAL PHYSICS, 1994, 101 (07) :6052-6062
[2]   IMPACT OF LOCAL AND NONLOCAL INTERACTIONS ON THERMODYNAMICS AND KINETICS OF PROTEIN-FOLDING [J].
ABKEVICH, VI ;
GUTIN, AM ;
SHAKHNOVICH, EI .
JOURNAL OF MOLECULAR BIOLOGY, 1995, 252 (04) :460-471
[3]   KINETICS OF PROTEIN-LIKE MODELS - THE ENERGY LANDSCAPE FACTORS THAT DETERMINE FOLDING [J].
BETANCOURT, MR ;
ONUCHIC, JN .
JOURNAL OF CHEMICAL PHYSICS, 1995, 103 (02) :773-787
[4]   A METHOD TO IDENTIFY PROTEIN SEQUENCES THAT FOLD INTO A KNOWN 3-DIMENSIONAL STRUCTURE [J].
BOWIE, JU ;
LUTHY, R ;
EISENBERG, D .
SCIENCE, 1991, 253 (5016) :164-170
[5]   FUNNELS, PATHWAYS, AND THE ENERGY LANDSCAPE OF PROTEIN-FOLDING - A SYNTHESIS [J].
BRYNGELSON, JD ;
ONUCHIC, JN ;
SOCCI, ND ;
WOLYNES, PG .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 1995, 21 (03) :167-195
[6]   SPIN-GLASSES AND THE STATISTICAL-MECHANICS OF PROTEIN FOLDING [J].
BRYNGELSON, JD ;
WOLYNES, PG .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1987, 84 (21) :7524-7528
[7]   Solvation: How to obtain microscopic energies from partitioning and solvation experiments [J].
Chan, HS ;
Dill, KA .
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 1997, 26 :425-459
[8]   Thermodynamics of interactions between amino acid side chains: Experimental differentiation of aromatic-aromatic, aromatic-aliphatic, and aliphatic-aliphatic side-chain interactions in water [J].
de Araujo, AFP ;
Pochapsky, TC ;
Joughin, B .
BIOPHYSICAL JOURNAL, 1999, 76 (05) :2319-2328
[9]   Monte Carlo simulations of protein folding using inexact potentials: How accurate must parameters be in order to preserve the essential features of the energy landscape? [J].
deAraujo, AFP ;
Pochapsky, TC .
FOLDING & DESIGN, 1996, 1 (04) :299-314
[10]   RANDOM-ENERGY MODEL - AN EXACTLY SOLVABLE MODEL OF DISORDERED-SYSTEMS [J].
DERRIDA, B .
PHYSICAL REVIEW B, 1981, 24 (05) :2613-2626