Simple models of protein folding and of non-conventional drug design

被引:13
作者
Broglia, RA
Tiana, G
Provasi, D
机构
[1] Univ Milan, Dept Phys, I-20133 Milan, Italy
[2] Ist Nazl Fis Nucl, Sez Milano, I-20133 Milan, Italy
[3] Univ Copenhagen, Niels Bohr Inst, DK-2100 Copenhagen, Denmark
关键词
D O I
10.1088/0953-8984/16/6/R02
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
While all the information required for the folding of a protein is contained in its amino acid sequence, one has not yet learned how to extract this information in order to predict the three-dimensional, biologically active, native conformation of a protein whose sequence is known. Using insights obtained from simple model simulations of the folding of proteins, in particular the fact that this phenomenon is essentially controlled by conserved (native) contacts among (few) strongly interacting ('hot'), as a rule hydrophobic, amino acids, which also stabilize local elementary structures (LES, hidden, incipient secondary structures such as alpha-helices and beta-sheets) formed early in the folding process and leading to the postcritical folding nucleus (i.e. the minimum set of native contacts which brings the system beyond the highest free-energy barrier found in the whole folding process) it is possible to work out a successful strategy for reading the native structure of designed proteins from a knowledge of only their amino acid sequence and of the contact energies among the amino acids. Because LES have undergone millions of years of evolution to selectively dock to their complementary structures, small peptides made out of the same amino acids as the LES are expected to selectively attach to the newly expressed (unfolded) protein and inhibit its folding, or to the native (fluctuating) native conformation and denature it. These peptides, or their mimetic molecules, can thus be used as effective non-conventional drugs to those already existing (and directed at neutralizing the active site of enzymes), displaying the advantage of not suffering from the increase in resistance.
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页码:R111 / R144
页数:34
相关论文
共 52 条
[21]   THE CONFIGURATION OF REAL POLYMER CHAINS [J].
FLORY, PJ .
JOURNAL OF CHEMICAL PHYSICS, 1949, 17 (03) :303-310
[22]  
FRAUENFELDER H, 1988, ANNU REV BIOPHYS BIO, V17, P451
[23]  
GO N, 1975, INT J PEPT PROT RES, V7, P313
[24]   Predicting changes in the stability of proteins and protein complexes: A study of more than 1000 mutations [J].
Guerois, R ;
Nielsen, JE ;
Serrano, L .
JOURNAL OF MOLECULAR BIOLOGY, 2002, 320 (02) :369-387
[25]  
HANGGI P, 1990, REV MOD PHYS, V62, P251, DOI 10.1103/RevModPhys.62.251
[26]   SMall molecule growth 2001 (SMoG2001): An improved knowledge-based scoring function for protein-ligand interactions [J].
Ishchenko, AV ;
Shakhnovich, EI .
JOURNAL OF MEDICINAL CHEMISTRY, 2002, 45 (13) :2770-2780
[27]   THE STRUCTURE OF THE TRANSITION-STATE FOR FOLDING OF CHYMOTRYPSIN INHIBITOR-2 ANALYZED BY PROTEIN ENGINEERING METHODS - EVIDENCE FOR A NUCLEATION-CONDENSATION MECHANISM FOR PROTEIN-FOLDING [J].
ITZHAKI, LS ;
OTZEN, DE ;
FERSHT, AR .
JOURNAL OF MOLECULAR BIOLOGY, 1995, 254 (02) :260-288
[28]   METROPOLIS MONTE-CARLO METHOD AS A NUMERICAL TECHNIQUE TO SOLVE THE FOKKER-PLANCK EQUATION [J].
KIKUCHI, K ;
YOSHIDA, M ;
MAEKAWA, T ;
WATANABE, H .
CHEMICAL PHYSICS LETTERS, 1991, 185 (3-4) :335-338
[29]   Brownian motion in a field of force and the diffusion model of chemical reactions [J].
Kramers, HA .
PHYSICA, 1940, 7 :284-304
[30]   A LATTICE STATISTICAL-MECHANICS MODEL OF THE CONFORMATIONAL AND SEQUENCE-SPACES OF PROTEINS [J].
LAU, KF ;
DILL, KA .
MACROMOLECULES, 1989, 22 (10) :3986-3997