BGC Detection and Classification Using Deep Learning
(Meta-)genome screening for functional and natural product gene sequences
GEne Cluster prediction with COnditional random fields.
COCONUT (COlleCtion of Open Natural prodUcTs): A comprehensive platform facilitating natural product research by providing data, tools, and services for deposition, curation, and reuse.
Natural Product Discovery tools -- a toolkit containing various pipelines for in silico analysis of natural product mass spectrometry data
a *biosynformatic* fingerprint to explore natural product distance and diversity
Data-driven elucidation of flavor chemistry
Machine learning meets natural products
NatUKE: Natural Product Knowledge Extraction Benchmark
This repository gathers scripts used for the paper "Open and re-usable annotated mass spectrometry dataset of a chemodiverse collection of 1,600 plant extracts."
Official implementation of "FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching" (ICLR 2026)
This repository is associated with the manuscript: "IMPPAT 2.0: An Enhanced and Expanded Phytochemical Atlas of Indian Medicinal Plants"
Repository for data, code & figures related to the publication: "Natural products from reconstructed bacterial genomes of the Middle and Upper Paleolithic"
The NPLinker webapp for visualizing NPLinker predictions. Online demo 👇
Repository for files related to DEREP-NP dereplication database
76,907 phytochemical records enriched with PubMed, ClinicalTrials.gov, ChEMBL bioactivity & USPTO patents. Production-ready JSON + Parquet. Free 400-row sample. Full dataset: ethno-api.com
Source code and data for "Natural products have increased rates of clinical trial success throughout the drug development process"
Reproducible code and data repository for the fungal ICS BGC prediction publication. GitHub repository is managed by Grant Nickles. For any data related questions email gnickles@wisc.edu or gnick317@gmail.com. For publication questions reach out to the corresponding authors Dr. Drott at Milton.Drott@usda.gov or Dr. Keller at npkeller@wisc.edu.
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