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Yves Pommier
Researcher at National Institutes of Health
Publications - 847
Citations - 65543
Yves Pommier is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Topoisomerase & DNA. The author has an hindex of 123, co-authored 789 publications receiving 58898 citations. Previous affiliations of Yves Pommier include Purdue University & Kyushu University.
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Artificial intelligence platform, RADR®, aids in the discovery of DNA damaging agent for the ultra-rare cancer Atypical Teratoid Rhabdoid Tumors
Joseph McDermott,Drew Sturtevant,Umesh Kathad,Sudhir Varma,Jianli Zhou,Aditya Kulkarni,Neha Biyani,Caleb Schimke,William C. Reinhold,Fathi Elloumi,Peter Carr,Yves Pommier,Kishor Bhatia +12 more
TL;DR: The power of applying two novel computational platforms, the NCI's CellMiner Cross Database and Lantern Pharma’s proprietary artificial intelligence (AI) and machine learning (ML) RADR® platform, to identify biological insights and potentially new target indications for the acylfulvene derivative drugs LP-100 and LP-184 is demonstrated.
Journal Article
Replication checkpoint selectivity for late S phase cells induced by topoisomerase I cleavage complexes
TL;DR: DNA damage induced by CPT corresponded to replication DSB, as indicated by the appearance of histone γH2AX foci at sites of DNA replication (IdU incorporation) and the response of individual cells to the intra-S phase checkpoint was monitored by pulse-labeling experiments.
Proceedings ArticleDOI
HIV Viral Protein R (Vpr)-Derived Peptides Designed as HIV-1 Integrase Photoaffinity Ligands
Journal Article
Abstract #1501: ET-743 modulates EWS-FLi1 activity in Ewing\#8217;s sarcoma cells
TL;DR: Ewing's cells are sensitive to ET-743 treatment at 24 hours at concentrations as low as 1 nM, and a 40% decrease in luminescence per cell in clones whose luciferase expression is driven by an EWS-Fli1 specific promoter is shown.
Journal ArticleDOI
Ontogenomic study of the relationship between number of gene splice variants and GO categorization
Ari B. Kahn,Ari B. Kahn,Ari B. Kahn,Barry R. Zeeberg,Michael C. Ryan,Michael C. Ryan,D. Curtis Jamison,D. Curtis Jamison,David Rockoff,Yves Pommier,John N. Weinstein +10 more
TL;DR: The Gene Ontology and tools for leveraging GO, such as GoMiner, now make such a study feasible and stable, and the distribution of splice variant number was a snapshot taken at a particular point in time.