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cs.LG2025
ReACT-Drug: Reaction-Template Guided Reinforcement Learning for de novo Drug Design
R Yadunandan, Nimisha Ghosh
De novo drug design is a crucial component of modern drug development, yet navigating the vast chemical space to find synthetically accessible, high-affinity candidates remains a s…
cs.LG2025
A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
Nimisha Ghosh, Daniele Santoni, Debaleena Nawn +2
The impact of Transformer-based language models has been unprecedented in Natural Language Processing (NLP). The success of such models has also led to their adoption in other fiel…
cs.LG2025
TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites
Nimisha Ghosh, Pratik Dutta, Daniele Santoni
Transcription factors are proteins that regulate the expression of genes by binding to specific genomic regions known as Transcription Factor Binding Sites (TFBSs), typically locat…