BGC Detection and Classification Using Deep Learning

(Meta-)genome screening for functional and natural product gene sequences

GEne Cluster prediction with COnditional random fields.

Natural Product Discovery tools -- a toolkit containing various pipelines for in silico analysis of natural product mass spectrometry data

COCONUT (COlleCtion of Open Natural prodUcTs): A comprehensive platform facilitating natural product research by providing data, tools, and services for deposition, curation, and reuse.

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."

a *biosynformatic* fingerprint to explore natural product distance and diversity

Machine learning meets natural products

Data-driven elucidation of flavor chemistry

Siderophore Information Database

Repository for data, code & figures related to the publication: "Natural products from reconstructed bacterial genomes of the Middle and Upper Paleolithic"

Codes for cheminformatics analysis of the phytochemical space

Repository for files related to DEREP-NP dereplication database

Source code and data for "Natural products have increased rates of clinical trial success throughout the drug development process"

Feature interrelation profiling using COCONUT and ZINC database

Graph Neural Network predicting the chemical composition of organism across the tree of life.

MFQL files for Natural Products Dereplication

Basic deployment details and issue tracking for the NP Atlas website

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.