Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.
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Updated
Mar 11, 2017 - Python
Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.
Created during the 2018 Cornell Health Hackathon
Command line app for predicting bacterial accumulation
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…
An educational simple game in Italian/English that simulates interaction between antbiotics and bacteria.
A simple simulator that shows the easy way how an antibiogram works
ARGs-OAP: Online Analysis Pipeline for Antibiotic Resistance Genes Detection from Metagenomic Data Using an Integrated Structured ARG Database
PyAMPA: The new version of the AMPA software
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
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