victor-gil-sepulveda/3Dmol.js
WebGL accelerated JavaScript molecular graphics library
Discovered public repositories for victor-gil-sepulveda in the GitHub catalog.
WebGL accelerated JavaScript molecular graphics library
A Python script to generate a tiled image of the frames of a pdb trajectory.
Some regression tests for pyProCT
Implementation of an Anisotropic Normal Mode methodology in Internal Coordinates.
Some tools for the ANM in internal coordinates project
Implementation of a fast distance matrix container (triangular symmetric matrix with 0 diag.). Formerly part of pyRMSD.
Python module to perform the (computational) experiments of [this paper] through PELE webserver queries.
Toolkit to extract old PELE (Fortran) metrics.
A very simple Python program to merge trajectories of biomolecules in PDB format. Trajectories can have an arbitrary number of frames, which means that it can be used to merge single PDBs too. The only restriction is that all each frame (conformation or system) must be encompassed by MODEL / ENMDL tags. If the last frame is broken, the merger will automatically skip it.
Helper scripts for the (cancelled) contextual HPC project.
(Incomplete) Files for a robotics Rapidly-exploring Randoom Tree implementation
Some scripts for the GPCR experiment.
Scripts to work in the intrinsically disordered proteins project.
Implementation of a simple task scheduler. It can run taks in parallel.
Collection of 4 scripts that were used to compare pyRMSD against other packages with RMSD calculation features. This scripts show how to integrate g_rms in a Python script as well as how to create an RMSD matrix (efficiently) with Prody, Biopython and PyVib2.
An asynchronous form wizard that supports branching.
Javascript-based interface for pyProCT
pyProCT is an open source cluster analysis software especially adapted for jobs related with structural proteomics. Its approach allows users to define a clustering goal (clustering hypothesis) based on their domain knowledge. This hypothesis will guide the software in order to find the best algorithm and parameters (including the number of clusters) to obtain the result that fulfills their expectatives. In this way users do not need to use cluster analysis algorithms as a black box, improving this way the results. pyProCT not only generates a resulting clustering, it also implements some use cases like the extraction of representatives or trajectory redundance elimination.
pyRMSD is a small Python package that aims to offer an integrative and efficient way of performing RMSD calculations of large sets of structures. It is specially tuned to do fast collective RMSD calculations, as pairwise RMSD matrices.