Biomedical subjects

R I Dima

Publications and source records attributed to R I Dima.

6 recordsLinked to original sources

PubMed2003

Emerging ideas on the molecular basis of protein and peptide aggregation.

Several neurodegenerative diseases are associated with the unfolding and subsequent fibrillization of proteins. Although neither the assembly mechanism nor the atomic structures of the amyloid fibrils are known, recent experimental and computational studies suggest that a few general principles that govern protein aggregation may exist. Analysis of the results of several important recent studies has led to a set of tentative ideas concerning the oligomerization of proteins and peptides. General rules have been described that may be useful in predicting regions of known proteins (prions and transthyretin) that are susceptible to fluctuations, which give rise to structures that can aggregate by the nucleation-growth mechanism. Despite large variations in the sequence-dependent polymerization kinetics of several structurally unrelated proteins, there appear to be only a few plausible scenarios for protein and peptide aggregation.

Alzheimer Disease↗

PubMed2002

Exploring the propensities of helices in PrP(C) to form beta sheet using NMR structures and sequence alignments.

Neurodegenerative diseases induced by transmissible spongiform encephalopathies are associated with prions. The most spectacular event in the formation of the infectious scrapie form, referred to as PrP(Sc), is the conformational change from the predominantly alpha-helical conformation of PrP(C) to the PrP(Sc) state that is rich in beta-sheet content. Using sequence alignments and structural analysis of the available nuclear magnetic resonance structures of PrP(C), we explore the propensities of helices in PrP(C) to be in a beta-strand conformation. Comparison of a number of structural characteristics (such as solvent accessible area, distribution of (Phi, Psi) angles, mismatches in hydrogen bonds, nature of residues in local and nonlocal contacts, distribution of regular densities of amino acids, clustering of hydrophobic and hydrophilic residues in helices) between PrP(C) structures and a databank of "normal" proteins shows that the most unusual features are found in helix 2 (H2) (residues 172-194) followed by helix 1 (H1) (residues 144-153). In particular, the C-terminal residues in H2 are frustrated in their helical state. The databank of normal proteins consists of 58 helical proteins, 36 alpha+beta proteins, and 31 beta-sheet proteins. Our conclusions are also substantiated by gapless threading calculations that show that the normalized Z-scores of prion proteins are similar to those of other alpha+beta proteins with low helical content. Application of the recently introduced notion of discordance, namely, incompatibility of the predicted and observed secondary structures, also points to the frustration of H2 not only in the wild type but also in mutants of human PrP(C). This suggests that the instability of PrP(C) proteins may play a role in their being susceptible to the profound conformational change. Our analysis shows that, in addition to the previously proposed role for the segment (90-120) and possibly H1, the C-terminus of H2 and possibly N-terminus may play a role in the alpha-->beta transition. An implication of our results is that the ease of polymerization depends on the unfolding rate of the monomer. Sequence alignments show that helices in avian prion proteins (chicken, duck, crane) are better accommodated in a helical state, which might explain the absence of PrP(Sc) formation over finite time scales in these species. From this analysis, we predict that correlated mutations that reduce the frustration in the second half of helix 2 in mammalian prion proteins could inhibit the formation of PrP(Sc).

Amino Acid Sequence↗

PubMed2002

Exploring protein aggregation and self-propagation using lattice models: phase diagram and kinetics.

Many seemingly unrelated neurodegenerative disorders, such as amyloid and prion diseases, are associated with propagating fibrils whose structures are dramatically different from the native states of the corresponding monomers. This observation, along with the experimental demonstration that any protein can aggregate to form either fibrils or amorphous structures (inclusion bodies) under appropriate external conditions, suggest that there must be general principles that govern aggregation mechanisms. To probe generic aspects of prion-like behavior we use the model of Harrison, Chan, Prusiner, and Cohen. In this model, aggregation of a structure, that is conformationally distinct from the native state of the monomer, occurs by three parallel routes. Kinetic partitioning, which leads to parallel assembly pathways, occurs early in the aggregation process. In all pathways transient unfolding precedes polymerization and self-propagation. Chain polymerization is consistent with templated assembly, with the dimer being the minimal nucleus. The kinetic effciency of R(n-1) + G --> R(n) (R is the aggregation prone state and G is either U, the unfolded state, or N, the native state of the monomer) is increased when polymerization occurs in the presence of a "seed" (a dimer). These results support the seeded nucleated-polymerization model of fibril formation in amyloid peptides. To probe generic aspects of aggregation in two-state proteins, we use lattice models with side chains. The phase diagram in the (T,C) plane (T is the temperature and C is the polypeptide concentration) reveals a bewildering array of "phases" or structures. Explicit computations for dimers show that there are at least six phases including ordered structures and amorphous aggregates. In the ordered region of the phase diagram there are three distinct structures. We find ordered dimers (OD) in which each monomer is in the folded state and the interaction between the monomers occurs via a well-defined interface. In the domain-swapped structures a certain fraction of intrachain contacts are replaced by interchain contacts. In the parallel dimers the interface is stabilized by favorable intermolecular hydrophobic interactions. The kinetics of folding to OD shows that aggregation proceeds directly from U in a dynamically cooperative manner without populating partially structured intermediates. These results support the experimental observation that ordered aggregation in the two-state folders U1A and CI2 takes place from U. The contrasting aggregation processes in the two models suggest that there are several distinct mechanisms for polymerization that depend not only on the polypeptide sequence but also on external conditions (such as C, T, pH, and salt concentration).

Dimerization↗

PubMed2001

Protein threading by learning.

By using techniques borrowed from statistical physics and neural networks, we determine the parameters, associated with a scoring function, that are chosen optimally to ensure complete success in threading tests in a training set of proteins. These parameters provide a quantitative measure of the propensities of amino acids to be buried or exposed and to be in a given secondary structure and are a good starting point for solving both the threading and design problems.

Amino Acid Sequence↗

PubMed2000

Scoring functions in protein folding and design.

We present an analysis of the assumptions behind some of the most commonly used methods for evaluating the goodness of the fit between a sequence and a structure. Our studies on a lattice model show that methods based on statistical considerations are easy to use and can capture some of the features of protein-like sequences and their corresponding native states, but unfortunately are incapable of recognizing, with certainty, the native-like conformation of a sequence among a set of decoys. Meanwhile, an optimization method, entailing the determination of the parameters of an effective free energy of interaction, is much more reliable in recognizing the native state of a sequence. However, the statistical method is shown to perform quite well in tests of protein design.

Monte Carlo Method↗

PubMed1999

Statistical mechanics of protein-like heteropolymers.

A strategy is outlined for obtaining the free energy of a typical designed heteropolymer. The design procedure considers the probability that the target conformation is occupied in comparison with all the other conformations that could house the given sequence. Numerical calculations on lattice heteropolymer models are presented to illustrate the key physical principles.

Animals↗