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UID:1245@biology.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20241029T130000

DTEND;TZID=Asia/Jerusalem:20241029T140000

DTSTAMP:20241008T124932Z

URL:https://biology.technion.ac.il/en/seminars/phd-graduate-seminar-2/

SUMMARY:PhD Graduate Seminar- Nikita Sarvin [No Categories]
DESCRIPTION:Location: Hybrid- in the Faculty Auditorium/ZOOM: https://techn
 ion.zoom.us/j/2475665720?omn=93736958191   Nikita Sarvin\n Affiliation: \n
  Host:Prof. Tomer Shlomi  \n Untargeted screening for small-molecule enzym
 e inhibitors via high-throughput metabolomics\nOMICS-based screening offer
 s a promising approach for untargeted drug discovery. Recently\, mass-spec
 trometry metabolomics and proteomics was used for inferring drug mechanism
  of action and off-target effects\, analyzing cellular response to treatme
 nt with numerous clinically approved drugs and tool compounds. Here\, we d
 eveloped a novel high-throughput LC-MS metabolomics screening pipeline and
  computational target deconvolution method\, enabling the identification o
 f novel compounds modulating cellular metabolism. Training our Graph Neura
 l Network (GNN)-based method on time- and dose-dependent metabolic respons
 es of cultured cells treated with 76 known metabolic inhibitors\, we corre
 ctly identified the target pathway within the top three ranked pathways fo
 r ~50% of the drugs. Applying this approach to a diversity library of 1\,0
 20 drug-like compounds\, we discovered five novel inhibitors targeting cli
 nically relevant pathways and enzymes involved in purine and pyrimidine bi
 osynthesis and redox metabolism. Our pipeline is readily scalable for scre
 ening thousands of compounds to identify new\, clinically relevant metabol
 ic inhibitors. 
LOCATION:Hybrid- in the Faculty Auditorium/ZOOM: https://technion.zoom.us/j
 /2475665720?omn=93736958191

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