Author

Akshay Shendre

Indraprastha Institute of Information Technology DelhiORCID 0009-0006-1239-5881Unclaimed ORCID profile · follow to get notified of new preprints

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Akshay Shendre1 paper · University of Hyderabad

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Approach:large language model· 1 Organism:plant (other)· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Gajendra P. S. RaghavaiD· 2 shared Pushpendra Singh GahlotiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersPlant Biology

Gajendra P. S. RaghavaORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintOct 6, 2026

EdiProPred: Prediction of Edible Plant Tissue-Associated Proteins Using Large Language Models

Pushpendra Singh Gahlot, Akshay Shendre, Gajendra P. S. Raghava

The paper develops EdiProPred, a model using large language models to classify plant proteins as edible or non-edible based on sequence data, achieving high accuracy.

DOI 10.64898/2026.10.03.756411

plant (other)protein sequence

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BioinformaticsbioRxivPreprintJan 22, 2026

PCPpred: Prediction of Chemically Modified Peptide Permeability Across Multiple Assays for Oral Delivery

Akshay Shendre, Pushpendra Singh Gahlot, Gajendra P. S. Raghava

The paper develops PCPpred, a model predicting peptide permeability across assays, achieving high performance on Caco-2 and PAMPA tests using molecular features and ensemble methods.

2 citations

proteomicsstatistical model

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