Author

Jayaraman Krishnamoorthy Valadi

Flame UniversityORCID 0000-0003-0185-9039Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Deepak Kumar SharmaiD· 1 shared Deepti Sahasrabuddhe· 1 shared Divye SinghiD· 1 shared Hrishikesh Thakur· 1 shared Khader ShameeriD· 1 shared Pooja AroraiD· 1 shared Prashanth SuravajhalaiD· 1 shared Rakesh Sharma· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Deepak Kumar SharmaORCID

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2 papers

Recent·Most cited

BioinformaticsSN Computer SciencePeer-reviewedAug 11, 2023

PandoraGAN: Generating antiviral peptides using Generative Adversarial Network

Shraddha Surana, Pooja Arora, Divye Singh…·Jayaraman Krishnamoorthy Valadi

PandoraGAN generates novel antiviral peptides using a GAN model trained on curated data, producing sequences with properties similar to known active peptides.

56 citationstop 1%

proteomicsdeep learning

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BioinformaticsbioRxivPreprintJul 12, 2020

Crowdsourcing Machine Intelligence Solutions to Accelerate Biomedical Science: Lessons learned from a machine intelligence ideation contest to improve the prediction of 3D domain swapping

Yash Shah, Deepak Kumar Sharma, Rakesh Sharma…·Ramanathan Sowdhamini

The paper describes a machine intelligence competition aimed at improving 3D domain swapping prediction, resulting in enhanced predictive modeling through crowdsourced solutions.

1 citation

protein sequencemachine learning (classical)

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