Author

Nikhil Pawar

The University of Texas at AustinORCID 0000-0002-1161-3289Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

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Dana GarciaiD· 1 shared Jamie D. DixsoniD· 1 shared Nisa A. SindhiiD· 1 shared

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2026-2026 · peak 1/yr

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Dana GarciaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 18, 2026

Combining amino acid frequency and 1D convolutional neural network embeddings for the identification of protein-protein interactions using a random forest classifier

Nisa A. Sindhi, Nikhil Pawar, Jamie D. Dixson, Dana Garcia

This paper develops a hybrid feature approach combining deep learning and amino acid frequency features to improve protein-protein interaction prediction using a random forest classifier.

DOI 10.64898/2026.05.15.725340

protein sequencedeep learning

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