Author

Shraddha Surana

ORCID 0000-0002-3009-3178Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Divye SinghiD· 2 shared Pooja AroraiD· 2 shared Avani MahadikiD· 1 shared Deepti Sahasrabuddhe· 1 shared Jayaraman Krishnamoorthy ValadiiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Divye SinghORCID

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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

𝕏 PostBluesky

BioinformaticsBioMed Research InternationalPeer-reviewedJan 1, 2022

Proteochemometric method for pIC50 prediction of Flaviviridae

Divye Singh, Avani Mahadik, Shraddha Surana, Pooja Arora

The paper predicts pIC50 values for antiviral peptides against Flaviviridae targets using proteochemometric modeling, achieving R2 of 0.85 and MAPE of 8.44%.

7 citations

protein sequencestatistical model

𝕏 PostBluesky