Author

Oleg Ursu

Merck & Co., Inc., Rahway, NJ, USA (United States)ORCID 0000-0003-0596-8339Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Amar Koleti· 1 shared Anja MuždaloiD· 1 shared Anna Gromek· 1 shared Anne Mai Wassermann· 1 shared Caty Chung· 1 shared Charlie Chang· 1 shared Christopher C. Mader· 1 shared Cristian BologaiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Amar Koleti

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedFeb 22, 2022

PepSeA: Peptide Sequence Alignment and Visualization Tools to Enable Lead Optimization

Javier L. Baylon, Oleg Ursu, Anja Muždalo…·Danny A. Bitton

PepSeA provides tools for peptide sequence alignment and visualization to support lead optimization in drug discovery.

10 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsJournal of Biomedical SemanticsPeer-reviewedNov 9, 2017

Drug Target Ontology to Classify and Integrate Drug Discovery Data

Yu Lin, Saurabh Mehta, Hande Küçük‐McGinty…·Stephan C. Schürer

The paper introduces the Drug Target Ontology (DTO) to classify and integrate drug discovery data by formalizing druggable protein targets and their characteristics.

69 citations

statistical modeldatabase / resource

𝕏 PostBluesky