Ramon Crehuet (rcrehuet)

rcrehuet

Geek Repo

Company:CSIC

Location:Barcelona

Home Page:www.iqac.csic.es/qtc

Twitter:@rcrehuet

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Ramon Crehuet's repositories

DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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spd1_PCNA

Files for the CAMPARI simulation of the spd1 PCNA complexes

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Python_for_scientists_2023

Material with the Python for Scientists course taught at the IQAC (CSIC)

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dmol-book

Deep learning for molecules and materials book

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tutorials

Landing Page/HUB for all WESTPA Tutorials

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folding_tools

A collection of *fold* tools

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ColabFold

Making Protein folding accessible to all via Google Colab!

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Force-Fields

Force Fields

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Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

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Methods-for-enhanced-sampling-and-free-energy-calculations

Enhanced sampling methods for molecular dynamics simulations

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getcontacts

Library for computing dynamic non-covalent contact networks in proteins throughout MD Simulation

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BME2

aaa

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Eines_informatiques_2020

Material pel l'assignatura d'Eines Informàtiques (part de Python) del Master Modelització Multiescala

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mdanalysis

MDAnalysis is a Python library to analyze molecular dynamics trajectories.

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ss-map

Automatically exported from code.google.com/p/ss-map

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BME

Integrating Molecular Simulation and Experimental Data

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Python_for_scientists_2019

Material for the Python for scientists 2019 taught at the Facultat de Química (UB)

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Python_for_scientists_ICIQ_2018

Material with the Python for Scientists course taught at the ICIQ.

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Python_for_Scientists_2017

Course material for the UB postgraduate course

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PCNA_HTMD

HTMD files for the PCNA simulation

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cclib-data

Computational chemistry logfiles used as regression tests by cclib

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cclib

Parsers and algorithms for computational chemistry logfiles

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reprosw

Lecture notes (in IPython Notebook format) on Reproducible Science And Modern Scientific Software

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test

For testing

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python_for_scientists

Material for the Python for Scientists course

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Ipython-Notebooks

Several notebooks dealing with aspects of science, numerical computations, julia, numpy and scipy.

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SAXS

Data and ipython notebooks on SAXS fitting

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