Author

Rakshanda Sajeed

Tata Consultancy Services (India)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Rajgopal Srinivasan· 2 shared Sadhna RanaiD· 2 shared Swatantra Pradhan· 2 shared Ailin Glagovsky· 1 shared Akash Kamandula· 1 shared Amanda M. WilliamsiD· 1 shared Andrea GrafmülleriD· 1 shared Andrzej KloczkowskiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Rajgopal Srinivasan

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2 papers

Recent·Most cited

An improved deep learning model for immunogenic B epitope prediction

Rakshanda Sajeed, Swatantra Pradhan, Rajgopal Srinivasan, Sadhna Rana

This study improves B epitope prediction by combining protein embeddings with structural features, showing better performance than models using embeddings alone.

bioRxiv · Jul 29, 2025 · PreprintBioinformatics

Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A

Shantanu Jain, Marena I. Trinidad, Thanh Nguyen, Kaiya Jones, Santiago Diaz Neto, Fang Ge, Ailin Glagovsky, Cameron Jones, Giankaleb Moran, Boqi Wang, Kobra Rahimi, Sümeyra Zeynep Çalıcı, Luis R. Cedillo, Silvia Berardelli, Buse Özden, , Wyatt Travis Clark

The paper evaluates variant effect predictions for ARSA gene variants, finding that a bootcamp-trained model outperformed others and that deep learning slightly improved performance over simpler methods.

Human Genetics · Mar 1, 2025Peer-reviewedGenetics