AbPredict 2: a server for accurate and unstrained structure prediction of antibody variable domains

Gideon Lapidoth; Jake Parker; Jaime Prilusky; Sarel J. Fleishman

doi:10.1093/bioinformatics/bty822

AbPredict 2: a server for accurate and unstrained structure prediction of antibody variable domains

Gideon Lapidoth, Jake Parker, Jaime Prilusky, Sarel J. Fleishman

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Abstract

Methods for antibody structure prediction rely on sequence homology to experimentally determined structures. Resulting models may be accurate but are often stereochemically strained, limiting their usefulness in modeling and design workflows. We present the AbPredict 2 web-server, which instead of using sequence homology, conducts a Monte Carlo-based search for low-energy combinations of backbone conformations to yield accurate and unstrained antibody structures.

Original language	English
Pages (from-to)	1591-1593
Number of pages	3
Journal	Bioinformatics
Volume	35
Issue number	9
Early online date	20 Sep 2018
DOIs	https://doi.org/10.1093/bioinformatics/bty822
State	Published - 1 May 2019

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/bty822

http://europepmc.org/articles/pmc6542689License: Other

Cite this

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title = "AbPredict 2: a server for accurate and unstrained structure prediction of antibody variable domains",

abstract = "Methods for antibody structure prediction rely on sequence homology to experimentally determined structures. Resulting models may be accurate but are often stereochemically strained, limiting their usefulness in modeling and design workflows. We present the AbPredict 2 web-server, which instead of using sequence homology, conducts a Monte Carlo-based search for low-energy combinations of backbone conformations to yield accurate and unstrained antibody structures.",

author = "Gideon Lapidoth and Jake Parker and Jaime Prilusky and Fleishman, \{Sarel J.\}",

note = "This research was supported by a European Research Council Starting Grant [335439], the Israel Science Foundation through its Center for Research Excellence in Structural Cell Biology and its joint India-Israel Research Program [1775/12; 2281/15] and a research grant from Anne Christopoulos and Carolyn Hewitt.",

year = "2019",

month = may,

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doi = "10.1093/bioinformatics/bty822",

language = "الإنجليزيّة",

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pages = "1591--1593",

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T1 - AbPredict 2

T2 - a server for accurate and unstrained structure prediction of antibody variable domains

AU - Lapidoth, Gideon

AU - Parker, Jake

AU - Prilusky, Jaime

AU - Fleishman, Sarel J.

N1 - This research was supported by a European Research Council Starting Grant [335439], the Israel Science Foundation through its Center for Research Excellence in Structural Cell Biology and its joint India-Israel Research Program [1775/12; 2281/15] and a research grant from Anne Christopoulos and Carolyn Hewitt.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Methods for antibody structure prediction rely on sequence homology to experimentally determined structures. Resulting models may be accurate but are often stereochemically strained, limiting their usefulness in modeling and design workflows. We present the AbPredict 2 web-server, which instead of using sequence homology, conducts a Monte Carlo-based search for low-energy combinations of backbone conformations to yield accurate and unstrained antibody structures.

AB - Methods for antibody structure prediction rely on sequence homology to experimentally determined structures. Resulting models may be accurate but are often stereochemically strained, limiting their usefulness in modeling and design workflows. We present the AbPredict 2 web-server, which instead of using sequence homology, conducts a Monte Carlo-based search for low-energy combinations of backbone conformations to yield accurate and unstrained antibody structures.

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U2 - 10.1093/bioinformatics/bty822

DO - 10.1093/bioinformatics/bty822

M3 - مقالة

SN - 1367-4803

VL - 35

SP - 1591

EP - 1593

JO - Bioinformatics

JF - Bioinformatics

IS - 9

ER -

AbPredict 2: a server for accurate and unstrained structure prediction of antibody variable domains

Abstract

All Science Journal Classification (ASJC) codes

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