antibioticsdiscovery

Python project using neural networks to design antibiotic compounds that have affinity to an specific target, in function of the IC50 value associated between the FASTA target sequence and the generated SMILE compounds

bioinsecticidesdiscovery

This Python project leverages neural networks and genetic algorithms to design bioinsecticide compounds with high affinity for a specific target. The design is based on the IC50 value associated with the FASTA target sequence and the generated SMILE compounds using Neural Networks and Genetic Algorithms.

n-end-rule

Python project to predict protein lifetime depending on the organism

nonmodelgotoolkit

This project features a pipeline for Gene Ontology (GO) enrichment analysis on candidate genes with functional transcriptome annotations. It identifies enriched Biological Processes (BP), Cellular Components (CC), and Molecular Functions (MF), using R and Python to create 2D treemaps and interactive 3D visualizations of GO terms.

rubenvg02