Author

Sai Lahari Guttula

ORCID 0009-0004-7861-3445Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Sai Shobit KambampatiiD· 1 shared Sanjana GogteiD· 1 shared Siri AnumandlaiD· 1 shared Vani KondaparthiiD· 1 shared Varshith Reddy KavadiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Sai Shobit KambampatiORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 6, 2026

Macro-Equi-Diff (MED): Scaffold-based Macrocycles Generation Using Equivariant Diffusion

Sai Shobit Kambampati, Siri Anumandla, Sai Lahari Guttula…·Vani Kondaparthi

The paper introduces MED, a deep learning framework for generating macrocycles from acyclic molecules, achieving high validity and binding affinity in drug discovery.

DOI 10.64898/2026.02.05.703948

deep learningdrug response / drug discovery

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