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Pingyu Zhong

dblp:209/7375 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein-protein interaction prediction
antibody-antigen interface analysis
0.312017
The interfacial character of antibody paratopes: analysis of antibody-antigen structures · Bioinform. 2017
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction analysis
0.312017
The interfacial character of antibody paratopes: analysis of antibody-antigen structures · Bioinform. 2017
Bioinformatics and computational biology
structural bioinformatics
0.312017
The interfacial character of antibody paratopes: analysis of antibody-antigen structures · Bioinform. 2017
Bioinformatics and computational biology › structural bioinformatics › structural motif analysis
structural motif search
0.312017
The interfacial character of antibody paratopes: analysis of antibody-antigen structures · Bioinform. 2017

Methods — techniques the papers use, named apart from their topics

heuristic clustering · 0.3clique matching · 0.33d least-squares fitting · 0.3
YearPublicationVenuePosition
2017 The interfacial character of antibody paratopes: analysis of antibody-antigen structures
abstract
SUMMARY: In this study, computational methods are applied to investigate the general properties of antigen engaging residues of a paratope from a non-redundant dataset of 403 antibody-antigen complexes to dissect the contribution of hydrogen bonds, hydrophobic, van der Waals contacts and ionic interactions, as well as role of water molecules in the antigen-antibody interface. Consistent with previous reports using smaller datasets, we found that Tyr, Trp, Ser, Asn, Asp, Thr, Arg, Gly, His contribute substantially to the interactions between antibody and antigen. Furthermore, antibody-antigen interactions can be mediated by interfacial waters. However, there is no reported comprehensive analysis for a large number of structured waters that engage in higher ordered structures at the antibody-antigen interface. From our dataset, we have found the presence of interfacial waters in 242 complexes. We present evidence that suggests a compelling role of these interfacial waters in interactions of antibodies with a range of antigens differing in shape complementarity. Finally, we carry out 296 835 pairwise 3D structure comparisons of 771 structures of contact residues of antibodies with their interfacial water molecules from our dataset using CLICK method. A heuristic clustering algorithm is used to obtain unique structural similarities, and found to separate into 368 different clusters. These clusters are used to identify structural motifs of contact residues of antibodies for epitope binding. AVAILABILITY AND IMPLEMENTATION: This clustering database of contact residues is freely accessible at http://mspc.bii.a-star.edu.sg/minhn/pclick.html. CONTACT: [email protected], [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Minh N. Nguyen, Mohan R. Pradhan, Chandra Shekhar Verma 0001, Pingyu Zhong
Bioinform.4