Evidence map›Paper›PMID 26748949›Full record

ArticleJournal of molecular recognition : JMR2016

Antibody humanization by molecular dynamics simulations-in-silico guided selection of critical backmutations.

Christian Margreitter, Patrick Mayrhofer, Renate Kunert, Chris Oostenbrink

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular recognition : JMR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Christian MargreitterInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences, Muthgasse 18, Vienna, 1190, Austria.
Patrick MayrhoferDepartment of Biotechnology, University of Natural Resources and Life Sciences, Muthgasse 18, Vienna, 1190, Austria.
Renate KunertDepartment of Biotechnology, University of Natural Resources and Life Sciences, Muthgasse 18, Vienna, 1190, Austria.
Chris OostenbrinkInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences, Muthgasse 18, Vienna, 1190, Austria.
BOKU University · AT

Funding

Austrian Science Fund FWF P 25056Austrian Science Fund FWF W 1224European Research Council 260408
6 · The paper itself

Abstract

Monoclonal antibodies represent the fastest growing class of biotherapeutic proteins. However, as they are often initially derived from rodent organisms, there is a severe risk of immunogenic reactions, hampering their applicability. The humanization of these antibodies remains a challenging task in the context of rational drug design. "Superhumanization" describes the direct transfer of the complementarity determining regions to a human germline framework, but this humanization approach often results in loss of binding affinity. In this study, we present a new approach for predicting promising backmutation sites using molecular dynamics simulations of the model antibody Ab2/3H6. The simulation method was developed in close conjunction with novel specificity experiments. Binding properties of mAb variants were evaluated directly from crude supernatants and confirmed using established binding affinity assays for purified antibodies. Our approach provides access to the dynamical features of the actual binding sites of an antibody, based solely on the antibody sequence. Thus we do not need structural data on the antibody-antigen complex and circumvent cumbersome methods to assess binding affinities. © 2016 The Authors Journal of Molecular Recognition Published by John Wiley & Sons Ltd.

Indexed as

MutationAmino Acid SequenceAnimalsAntibodies, Monoclonal, HumanizedBinding SitesCHO CellsComplementarity Determining RegionsComputer SimulationCricetulusDrug DesignHEK293 CellsHumansModels, MolecularMolecular Dynamics SimulationAntibodies, Monoclonal, HumanizedComplementarity Determining Regionsantibody humanizationbinding affinityconformational clusteringGROMOSmolecular dynamics

Identifiers

PMID26748949
PMCPMC4948679
OpenAlexW2232023111

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.