Name: Shubhandra Tripathi
Type: User
Company: University of New Hampsire
Bio: Molecular Dynamics,
Enhanced Sampling, Drug Designing, Machine Learning, Neural Networks, Deep Learning, Bioinformatics
Location: University of New Hampshire, Durham NH, USA
Shubhandra Tripathi's Projects
This repository will contain script related to AMBER installation and analysis
This contain various Bash utilities
Jupyter notebook tutorial on bootstrapping (and other related methods) for resampling and calculating uncertainties from correlated timeseries data.
Biomolecular simulation trajectory/data analysis.
Supporting data for the manuscript "Deep learning the slow modes for rare events sampling"
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Tutorials of few enhanced sampling methods along with bash script to run the method in a single shot..
Globally Accelerated Sliced Sampling
Gromacs molecular dynamics simulation analysis scripts
Lab Materials for MIT 6.S191: Introduction to Deep Learning
This folder contains various useful python scripts
A unified framework for machine learning collective variables for enhanced sampling simulations
Open Drug Discovery Toolkit
This repository contains small python codes
This is for the scripts of RDkit
Python implementation of the string method to compute the minimum energy path between two points on a 2-dimensional energy landscape.
aThis repository contains all the essential files needed to reproduce avibactam unbinding form class C-beta lactamase using Temperature Accelerated Sliced Sampling method.
Some of useful tcl scripts to analyse data from VMD
Resources & Study materials are available presented at workshop FECCBS organised at IIT Kanpur, by Prof. Nisanth Nair