<p>ESMCrystal : Enhancing protein crystallization prediction through protein embeddings</p>

Jayanth Kumar; Kavya Jayakumar; Jayaprakash Sundararaj

doi:10.7490/f1000research.1119933.1

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Kumar J, Jayakumar K and Sundararaj J. ESMCrystal : Enhancing protein crystallization prediction through protein embeddings [version 1; not peer reviewed]. F1000Research 2024, 13:1184 (slides) (https://doi.org/10.7490/f1000research.1119933.1)

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ESMCrystal : Enhancing protein crystallization prediction through protein embeddings

Jayanth Kumar¹, Kavya Jayakumar, Jayaprakash Sundararaj

Published 09 Oct 2024 (https://doi.org/10.7490/f1000research.1119933.1)

Author Affiliations

¹ Computer Science, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

Copyright © 2024 Kumar J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 09 Oct 2024

ESMCrystal : Enhancing protein crystallization prediction through protein embeddings
[version 1; not peer reviewed]

Jayanth Kumar¹, Kavya Jayakumar, Jayaprakash Sundararaj

Author Affiliations

¹ Computer Science, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), 2024

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Protein crystallization, Protein Embeddings, ESMCrystal models, ESMFold2, Machine learning, Bioinformatics, Protein structure analysis

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