Author

Karishma Surendra Kaushik

Savitribai Phule Pune UniversityORCID 0000-0001-5131-1798Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:database / resource· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Gandhar TendulkariD· 1 shared Ragothaman M. YennamalliiD· 1 shared Rohit Awate· 1 shared SaiSupriya Avatapalli· 1 shared Shashank RavichandraniD· 1 shared Shreeya MhadeiD· 1 shared Snehal KadamiD· 1 shared Stutee PanseiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Gandhar TendulkarORCID

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2 papers

Recent·Most cited

BioinformaticsFrontiers in Cellular and Infection MicrobiologyPeer-reviewedOct 18, 2022

Targeting the Search: An Upgraded Structural and Functional Repository of Antimicrobial Peptides for Biofilm Studies (B-AMP v2.0) with a Focus on Biofilm Protein Targets

Shashank Ravichandran, SaiSupriya Avatapalli, Yatindrapravanan Narasimhan…·Ragothaman M. Yennamalli

The paper introduces B-AMP v2.0, an upgraded repository of antimicrobial peptides and biofilm targets, with tools for in silico evaluation of AMPs against specific bacterial biofilm proteins.

9 citations

bacteria (other)protein structure

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BioinformaticsbioRxivPreprintAug 16, 2021

AMPing up the search: An in silico approach to identifying Antimicrobial Peptides (AMPs) with potential anti-biofilm activity

Shreeya Mhade, Stutee Panse, Gandhar Tendulkar…·Karishma Surendra Kaushik

The paper presents an in silico method to identify antimicrobial peptides with potential anti-biofilm activity using homology modeling and molecular docking.

DOI 10.1101/2021.08.16.456477

protein structurestatistical model

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