A new method for building protein conformations from sequence alignments with homologues of known structure.
We describe a largely automatic procedure for building protein structures from sequence alignments with homologues of known structure. This procedure uses simple rules by which multiple sequence alignments can be translated into distance and chirality constraints, which are then used as input for distance geometry calculations. By this means one obtains an ensemble of conformations for the unknown structure that are compatible with the rules employed, and the differences among these conformations provide an indication of the reliability of the structure prediction. The overall approach is demonstrated here by applying it to several Kazal-type trypsin inhibitors, for which experimentally determined structures are available. On the basis of our experience with these test problems, we have further predicted the conformation of the human pancreatic secretory trypsin inhibitor, for which no experimentally determined structure is presently available.
Havel
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TF
Biophysics Research Division, University of Michigan, Ann Arbor 48109-2099.
Snow
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ME
D000465:Algorithms; D000595:Amino Acid Sequence; D006801:Humans; D008958:Models, Molecular; D010179:Pancreas / Q000378:metabolism*; D011487:Protein Conformation; D016415:Sequence Alignment; D012689:Sequence Homology, Nucleic Acid; D014359:Trypsin Inhibitor, Kazal Pancreatic / Q000737:chemistry*
D014359:Trypsin Inhibitor, Kazal Pancreatic