Predicting antibody hypervariable loop conformation. I. Ensembles of random conformations for ringlike structures

PS Shenkin, DL Yarmush, RM Fine… - Biopolymers …, 1987 - Wiley Online Library
One approach to finding the conformation of minimum energy for a complicated molecule is
to perform energy minimization, perhaps coupled to more exhaustive search procedures …

Predicting antibody hypervariable loop conformations II: Minimization and molecular dynamics studies of MCPC603 from many randomly generated loop …

RM Fine, H Wang, PS Shenkin… - Proteins: Structure …, 1986 - Wiley Online Library
We describe a method for predicting the conformations of loops in proteins and its
application to four of the complementarity determining regions [CDRs] in the …

Modeling antibody hypervariable loops: a combined algorithm.

AC Martin, JC Cheetham… - Proceedings of the …, 1989 - National Acad Sciences
To be of any value, a predicted model of an antibody combining site should have an
accuracy approaching that of antibody structures determined by x-ray crystallography (1.6 …

Prediction of the folding of short polypeptide segments by uniform conformational sampling

RE Bruccoleri, M Karplus - Biopolymers: Original Research on …, 1987 - Wiley Online Library
A procedure, CONGEN, for uniformly sampling the conformational spaceof short polypeptide
segments in proteins has been implemented. Because thetime required for this sampling …

Structural families in loops of homologous proteins: automatic classification, modelling and application to antibodies

ACR Martin, JM Thornton - Journal of molecular biology, 1996 - Elsevier
Loop regions of polypeptide in homologous proteins may be classified into structural
families. A method is described by which this classification may be performed automatically …

Automated classification of antibody complementarity determining region 3 of the heavy chain (H3) loops into canonical forms and its application to protein structure …

B Oliva, PA Bates, E Querol, FX Avilés… - Journal of molecular …, 1998 - Elsevier
A computer-based algorithm was used to cluster the loops forming the complementarity
determining region (CDR) 3 of the heavy chain (H3) into canonical classes. Previous …

Structural mimicry of canonical conformations in antibody hypervariable loops using cyclic peptides containing a heterochiral diproline template

M Favre, K Moehle, L Jiang, B Pfeiffer… - Journal of the …, 1999 - ACS Publications
Analyses of high resolution crystal structures have shown that antibody hypervariable loops
L1, L2, and L3 from the light chain, as well as H1 and H2 from the heavy chain, can be …

Development of an extended simulated annealing method: application to the modeling of complementary determining regions of immunoglobulins

J Higo, V Collura, J Garnier - Biopolymers: Original Research …, 1992 - Wiley Online Library
An extended simulated annealing process (ESAP) has been developed in order to obtain an
ensemble of conformations of a peptide segment from a protein fluctuating at a given …

Analysis of conformations of amino acid residues and prediction of backbone topography in proteins

AW Burgess, PK Ponnuswamy… - Israel Journal of …, 1974 - Wiley Online Library
Methods for describing a discrete number of conformational states of amino acid residues in
proteins are presented and used to investigate the topography of chain folding. The relative …

Standard‐geometry chains fitted to X‐ray derived structures: Validation of the rigid‐geometry approximation. I. Chain closure through a limited search of “loop” …

KA Palmer, HA Scheraga - Journal of computational chemistry, 1991 - Wiley Online Library
The Gō–Scheraga algorithm to produce rigid‐geometry chain closures for polypeptide
chains (N. Gō and HA Scheraga, Macromolecules, 3, 178, 1970) has been updated to allow …