Yes, You Should Use AI for MedicinalChemistry

Channel:
Germany BioSolveITTutorials
Subscribers:
2,930
Published on ● Video Link: https://www.youtube.com/watch?v=_ViYWtqmaLo


Duration: 25:05
973 views
19

From DrugSpace 2023 "A Network of Possibilities"

Speaker: Quentin Perron (Iktos)

#MachineLearning #MedChem #CompChem #VirtualScreening #AI



Other Videos By BioSolveITTutorials


2024-09-27infiniSee xREAL: Perspectives on the 2.4-Trillion-Sized Compound Supercluster
2024-09-06What The Drug?! (#2): Unfragment My Complex
2024-07-12Software Updates: SeeSAR 13.1 and infiniSee 6.1
2024-06-14What The Drug: Drug Discovery Live Stream
2024-04-02Introduction to infiniSee 6 ‘Echo’
2024-03-01Workshop Kinase Ligand Design
2024-01-02AI in Drug Discovery: Revolution or Pandora’s Box?
2023-11-03Introduction to SeeSAR: Drug Discovery with ‘Midas’
2023-10-20The Chemical Library Space
2023-07-28Drugathon 2023 Introduction
2023-07-19Yes, You Should Use AI for MedicinalChemistry
2023-07-19Claw Machines for Exploding Chemical Spaces
2023-07-19Making Virtual REAL: Creation and Use ofthe Giga-Scale Chemical Spaces
2023-07-19An Efficient Graph Generative Model for Navigating Ultra-Large Combinatorial Synthesis Libraries
2023-07-19Learning to Navigate Synthetically Accessible Chemical Space
2023-07-19AI-Accelerated Organic Synthesis
2023-07-18AI-Driven Mining of Accessible Chemical Spaces
2023-07-18Scalable and High-Throughput Deep Neural Virtual Screening
2023-06-11What's New in SeeSAR 13 'Midas'?
2023-04-11Using Coordination Chemistry to Get Out of ‘Flat Land’
2023-03-07Molecular Fingerprint Screening in Trillion-Sized Chemical Spaces


Tags:
docking
molecular modeling
compounds
virtual screening
screening
medicinal chemistry
computational chemistry
FBDD
DD
CADD
covalent
synthesis
organic chemistry
molecular modelling
homology model
homology modelling
protein
target
interactions
ligand