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Sanjana Nair

dblp:370/5511 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-1861-417XORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein structure analysis
0.712023
PICKLUSTER: a protein-interface clustering and analysis plug-in for UCSF ChimeraX · Bioinform. 2023
Bioinformatics and computational biology › protein structure analysis › quaternary structure
protein-protein interface characterization
0.212023
PICKLUSTER: a protein-interface clustering and analysis plug-in for UCSF ChimeraX · Bioinform. 2023

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

distance clustering · 0.7
YearPublicationVenuePosition
2023 PICKLUSTER: a protein-interface clustering and analysis plug-in for UCSF ChimeraX
abstract
SUMMARY: The identification and characterization of interfaces in protein complexes is crucial for understanding the mechanisms of molecular recognition. These interfaces are also attractive targets for protein inhibition. However, targeting protein interfaces can be challenging for large interfaces that consist of multiple interacting regions. We present PICKLUSTER [Protein Interface C(K)luster]-a program for identifying "sub-interfaces" in protein-protein complexes using distance clustering. The division of the interface into smaller "sub-interfaces" offers a more focused approach for targeting protein-protein interfaces. AVAILABILITY AND IMPLEMENTATION: PICKLUSTER is implemented as a plug-in for the molecular visualization program UCSF ChimeraX 1.4 and subsequent versions. It is freely available for download in the ChimeraX Toolshed and https://gitlab.com/topf-lab/pickluster.git.
Luca R. Genz, Thomas Mulvaney, Sanjana Nair, Maya Topf
Bioinform.3