Marc Lensink

Dr. Marc Lensink

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 October 2007 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
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MLMarc Lensink
Marc Lensink
RMRaúl Méndez
Raúl Méndez
SWshoshana wodak
shoshana wodak

24 June 2005 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Closed access
PDF file
RMRaúl Méndez
Raúl Méndez
RLRaphaël Leplae
Raphaël Leplae
MLMarc Lensink
Marc Lensink
SWshoshana wodak
shoshana wodak

1 October 2013 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Closed access
PDF file
MLMarc Lensink
Marc Lensink
SWshoshana wodak
shoshana wodak

14 July 2010 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Closed access
PDF file
MLMarc Lensink
Marc Lensink
SWshoshana wodak
shoshana wodak

16 November 2016 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Closed access
PDF file
MLMarc Lensink
Marc Lensink
SVSameer Velankar
Sameer Velankar
SWshoshana wodak
shoshana wodak

28 April 2016 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Open access
PDF file
MLMarc Lensink
Marc Lensink
SVSameer Velankar
Sameer Velankar
AKAndriy Kryshtafovych
Andriy Kryshtafovych
SHShen‐You Huang
Shen‐You Huang
DSDina Schneidman‐Duhovny
Dina Schneidman‐Duhovny
SWshoshana wodak
shoshana wodak
We present the results for CAPRI Round 30, the first joint CASP‐CAPRI experiment, which brought together experts from the protein structure prediction and protein–protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 prediction experiment of 2014. The targets included mostly homodimers, a few homotetramers, and two heterodimers, and comprised protein chains that could readily be modeled using templates from the Protein Data Bank. On average 24 CAPRI groups and 7 CASP groups submitted docking predictions for each target, and 12 CAPRI groups per target participated in the CAPRI scoring experiment. In total more than 9500 models were assessed against the 3D structures of the corresponding target complexes. Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations. Targets with ambiguous or inaccurate oligomeric state assignments, often featuring crystal contact‐sized interfaces, represented a confounding factor. For those, a much poorer prediction performance was achieved, while nonetheless often providing helpful clues on the correct oligomeric state of the protein. The prediction performance was very poor for genuine tetrameric targets, where the inaccuracy of the homology‐built subunit models and the smaller pair‐wise interfaces severely limited the ability to derive the correct assembly mode. Our analysis also shows that docking procedures tend to perform better than standard homology modeling techniques and that highly accurate models of the protein components are not always required to identify their association modes with acceptable accuracy. Proteins 2016; 84(Suppl 1):323–348. © 2016 The Authors Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.