Computer-Driven Discovery of GPCR Ligands with New Chemotypes and Functional Selectivity

Computer-Driven Discovery of GPCR Ligands with New Chemotypes and Functional Selectivity

MolSoft Molecules in Silico via YouTube Direct link

Proposed acceleration approaches

11 of 20

11 of 20

Proposed acceleration approaches

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Computer-Driven Discovery of GPCR Ligands with New Chemotypes and Functional Selectivity

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  1. 1 Intro
  2. 2 Structure-Function and Ligand design for GPCRs
  3. 3 Core Computational Technologies
  4. 4 Design of bitopic ligands for μ-Opioid Receptor
  5. 5 Modulating functional pathways of μ-Opioid receptor by targeting conserved Na* site
  6. 6 Ongoing and Emerging Directions Rational Structure-Based Ligand Design
  7. 7 Outline
  8. 8 How to Discover New Leads for a Protein Target?
  9. 9 Major Breakthroughs for Structure-Based VLS
  10. 10 REAL Space: On Demand Virtual Libraries for Screening
  11. 11 Proposed acceleration approaches
  12. 12 Idea: Use chemical modularity of REAL libraries
  13. 13 Selection of Minimal Fragments: Binding pose matters
  14. 14 V-SYNTHES Computational Benchmarking (with Binding Score & Pose selection)
  15. 15 Analogs-by-Catalog optimization of #523 series
  16. 16 V-SYNTHES 2.1-next level of scale and automation
  17. 17 V-SYNTHES collaborative applications to diverse targets
  18. 18 Enamine Libraries: from HTS to V-SYNTHES
  19. 19 Custom combinatorial libraries based on SuFEx "click" reaction
  20. 20 Novel Angiotensin AT2 antagonists for neuropathic pair From discovery to a (pre)clinical candidate

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