ARGs-OAP: Online Analysis Pipeline for Antibiotic Resistance Genes Detection from Metagenomic Data Using an Integrated Structured ARG Database

Command line app for predicting bacterial accumulation

[NeurIPs High School 2024] A benchmarking study on medical foundation models for antibiotic susceptibility prediction.

A pipeline for our research workflow.

This Python project leverages neural networks to design antibiotic compounds with high affinity for specific targets, based on the IC50 values derived from FASTA target sequences and the generated SMILES representations of compounds.

An educational simple game in Italian/English that simulates interaction between antbiotics and bacteria.

PyAMPA: The new version of the AMPA software

A simple simulator that shows the easy way how an antibiogram works

Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.

Simple calculator made using the Tkinter module in Python. It calculates the centor criteria for tonsilitis that dictates whether a patient should be prescribed antibiotics.

ABacAPP is a machine learning-based web application capable of predicting the antibacterial potency of any compound against β-lactamases (including β-lactamase, AmpC, Bla2, KPC-2, TEM-1, BRO-1, Class C, Class D, Type II, L1, NDM-1, SHV-1, SHV-5, OXA-1, and Metallo β-lactamase 1 and 2), DNA Gyrases (including DNA Gyrase, GyraseA, and GyraseB), Ba…

Created during the 2018 Cornell Health Hackathon