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Cheminformatics for Natural Products & Phytochemicals | Dereplication, Networking & NP-Likeness

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Cheminformatics, QSAR & ADMET >> Cheminformatics for Natural Products & Phytochemicals | Dereplication, Networking & NP-Likeness

Cheminformatics for Natural Products & Phytochemicals — Hands-on

Work end-to-end on natural products (NP) and phytochemicals with the right informatics. This hands-on module covers dereplication (formula/adduct logic, MS/MS library search) , molecular networking, NP-likeness/scaffold analysis, stereochemistry & conjugates (glycosides/terpenoids) , bioactivity annotation, and reproducible curation workflows for discovery and nutraceutical R&D.

Cheminformatics for Natural Products & Phytochemicals
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Session 1
Fee: Rs 18800
NP Data, Curation & Stereochemistry
  • Sources & ontologies
  • COCONUT, NP Atlas, ChEBI taxonomic & botanical metadata bioactivity & assay tags
  • Curation specifics for NPs
  • mixtures/extracts handling glycosides/conjugates stereocenters & macro stereochemistry
  • ID & normalization
  • SMILES/InChI for NPs tautomers/adduct notes vendor/collection mapping
Session 2
Fee: Rs 21800
Dereplication & Molecular Networking
  • Formula/adduct-aware dereplication
  • exact mass & isotopes [M+H]+ / [M−H]− heuristics library/MS/MS search
  • Molecular networking (GNPS-style)
  • spectral similarity graphs annotation levels & propagation cluster to scaffold hints
  • Feature → structure triage
  • in-silico fragments derep hit ranking reporting templates
Session 3
Fee: Rs 24800
NP-Likeness, Scaffolds & Bioactivity Maps
  • NP-like space & scaffolds
  • scaffold trees/rings NP-likeness score chemotype tagging
  • Bioactivity & pathway context
  • target/mechanism links assay harmonization polypharmacology hints
  • Synthesis/derivatization ideas
  • semi-synthetic derivatives de-glycosylation strategies IP/novelty flags (lite)
Session 4
Fee: Rs 28800
Mini Capstone: From Extract to Candidates
  • Build an extract → derep → network → shortlist pipeline
  • Theory + Practical
  • Reporting & deliverables
  • candidate list + NP-likeness network & derep report metadata pack (taxonomy/assays)
  • Optional next steps
  • semi-synthesis proposals in silico ADMET screen IP scan pointers


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