PubMed Health⌕ Search

PubMed · 7846026

Learning about protein folding via potential functions.

Abstract

Over the last few years we have developed an empirical potential function that solves the protein structure recognition problem: given the sequence for an n-residue globular protein and a collection of plausible protein conformations, including the native conformation for that sequence, identify the correct, native conformation. Having determined this potential on the basis of only some 6500 native/nonnative pairs of structures for 58 proteins, we find it recognizes the native conformation for essentially all compact, soluble, globular proteins having known native conformations in comparisons with 10(4) to 10(6) reasonable alternative conformations apiece. In this sense, the potential encodes nearly all the essential features of globular protein conformational preference. In addition it "knows" about many additional factors in protein folding, such as the stabilization of multimeric proteins, quaternary structure, the role of disulfide bridges and ligands, proproteins vs. processed proteins, and minimal strand lengths in globular proteins. Comparisons are made with other sorts of protein folding problems, and applications in protein conformational determination and prediction are discussed.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

V N Maiorov, G M Crippen. 1994. Learning about protein folding via potential functions.. https://doi.org/10.1002/prot.340200206

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations