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researcher

Mahsa Sheikholeslami

2 papers hereh-index 324 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.QM2

identity via Semantic Scholar / OpenAlex

most citedDrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

19 citations · 19 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2026

DrugGen 2: A disease-aware language model for enhancing drug discovery

Ali Motahharynia, Mohammadreza Ghaffarzadeh-Esfahani, Mahsa Sheikholeslami +4

Current computational approaches for drug design typically focus on generating molecules conditioned on specific targets or general molecular properties, often neglecting the influ…

q-bio.QM2024★ 19 cited

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

Mahsa Sheikholeslami, Navid Mazrouei, Yousof Gheisari +3

Traditional drug design faces significant challenges due to inherent chemical and biological complexities, often resulting in high failure rates in clinical trials. Deep learning a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.