Author

Hai-Feng Ji

Drexel UniversityORCID 0000-0001-5450-0121Unclaimed 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:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Approach:contrastive learning· 1 Organism:human· 1 Approach:optimal transport· 1 Organism:virus· 1

Frequent Co-Authors

Bahrad Ali SokhansanjiD· 2 shared GAIL L. ROSENiD· 2 shared Hyunwoo YooiD· 1 shared James R. BrowniD· 1 shared Milad Amir ToutounchianiD· 1 shared Mohammad S. RefahiiD· 1 shared Rohan ChandraghatgiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Bahrad Ali SokhansanjORCID

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2 papers

Recent·Most cited

BioinformaticsBiologyPeer-reviewedJun 21, 2026

Nevermore: Target-Conditioned Protein-Ligand Representation Learning for Multi-Objective Lead Optimization with Database-Grounded Retrieval

Mohammad S. Refahi, Milad Amir Toutounchian, Bahrad Ali Sokhansanj…·GAIL L. ROSEN

Nevermore improves lead optimization by balancing binding affinity and developability constraints using a database-grounded framework with interpretable molecular edits.

DOI 10.3390/biology15120971

proteomicscontrastive learning

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BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedMay 2, 2024

Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening

Rohan Chandraghatgi, Hai‐Feng Ji, GAIL L. ROSEN, Bahrad Ali Sokhansanj

This paper introduces a novel fragment-based drug discovery method that uses evolutionary optimization and ligand-based virtual prescreening to efficiently identify high-affinity ligands.

12 citations

humanbacteria (other)

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