Analysis of potential membrane disruption and stability of antimicrobial cationic peptides by molecular dynamics simulations
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Updated
Aug 6, 2014 - Shell
Analysis of potential membrane disruption and stability of antimicrobial cationic peptides by molecular dynamics simulations
Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.
Data analysis and prediction of small-molecule accumulation in Gram-negative bacteria
This repo contains data of bidding for multiple drugs and antibiotics reported to Vietnam Ministry of Health in 2015, 2016, 2017.
SI-649 Individual Assignment - This website serves as a data analysis regarding three common antibiotic's effects upon various bacterial infections. This visualization is a Tableau Dashboard with the goal of displaying the varying effectiveness of Penicillin, Streptomycin, and Neomycin, on Gram-Positive/Negative bacteria.
Created during the 2018 Cornell Health Hackathon
This is a final deliverable for a project that attempts to examine the current meat industry through the lens of animal agriculture legislation and aims to identify the barriers to achieving effective animal welfare legislation.
Source for "Multi-Objective Evolutionary Optimisation of Antibiotic Treatments" (Ochoa, Christie, Brownlee, & Hoyle, 2020).
West Nile Virus Infection in mice treated with vehicle or various antibiotics: https://www.ncbi.nlm.nih.gov/pubmed/29590614
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.
Tuberculosis and the microbiome
Talk for ACPE2021 on Australian antibiotic use in the first 6 mo of COVID-19
Scripts for accessing information about Aquarium High Throughput Culturing operation types through Trident API.
A repository containing all the file projects that I have for the Bioinformatics 2 (COMP 4312a) course.
Project that estimates the use and overuse of antibiotics in Idaho based on Medicare Part D data.
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…
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