Predicting immunoglobulin‐like hypervariable loops

George Vasmatzis, Richard Brower, Charles Delisi

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

A two‐stage method is developed to search the conformational space of small protein segments for low energy structures. Central features of the method are efficient procedures for generating small, eight‐backbone atom, local moves in Cartesian coordinates and for introducing geometric constraints in adaptable Monte Carlo procedures. This allows natural implementation of an adaptive simulated annealing algorithm, which achieves an effective trade‐off between speed and acceptance ratio. The method is applied to the calculation of various immunoglobulin loops. We also develop data base derived rules for identifying constraint conditions, and show that the incorporation of an identified side‐chain constraint allows a 1.2 Å all‐backbone atom rms deviation prediction of a 9 residue long L1 loop. © 1994 John Wiley & Sons, Inc.

Original languageEnglish (US)
Pages (from-to)1669-1680
Number of pages12
JournalBiopolymers
Volume34
Issue number12
DOIs
StatePublished - Dec 1994

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Biomaterials
  • Organic Chemistry

Fingerprint

Dive into the research topics of 'Predicting immunoglobulin‐like hypervariable loops'. Together they form a unique fingerprint.

Cite this