128 Open source projects that are alternatives of or similar to hPDB

Haskell bindings to SDL2_image.

Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format

A Microsoft Windows application that displays the contents of the file header of *.Gbx files used by the Nadeo game engine GameBox.

Pdb and Vim integration

TeamCity Symbol Server plugin

Tool for PDB generation from IDA Pro database

💾 OLE File Container Format

ROOT I/O in pure Python and NumPy.

Parse Photoshop files in Ruby with ease

A cheatsheet for the Python Debugger (pdb)

Predicting protein structure through sequence modeling

Full-screen console debugger for Python

Fetch PDB symbols directly from Microsoft's symbol servers

A parser for Microsoft PDB (Program Database) debugging information

Fully convolutional neural networks for protein residue-residue contact prediction

pdb + Rich library

Email address validation for Haskell

Pytest PuDB debugger integration

C++ library for MP4 file parsing.

📖 mmCIF support for hybrid/integrative models

NoPdb: Non-interactive Python Debugger

A tool which allows you to edit source code of any MSVC C++ project live at runtime

C/C++ library to handle writing simple Matlab(r) MAT file

pdb++, a drop-in replacement for pdb (the Python debugger)

A pure Java HDF5 library

📖🔬☕️ BioJava is an open-source project dedicated to providing a Java library for processing biological data.

Guided Conditional Wasserstein GAN for De Novo Protein Design

Working with molecular structures in pandas DataFrames

A collection of useful tutorials for Protein Science

Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021

CloudCompare plugin for loading COLLADA, glTF, and IFC-SPF 3D models

Official git repository for Biopython (originally converted from CVS)

Neural Networks for Protein Sequence Alignment

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

lightweight TIFF reader/writer library (C/C++)

A fast and easy-to-use PLY parsing library in a single c++11 header and cpp file

Utility to resolve SQL Server callstacks to their correct symbolic form using just PDBs and without a dump file

A plain-text file format and command line tool for time tracking

Modeling molecular ensembles with scalable data structures and parallel computing

C++ Bitmap Library

Reference documentation for the iOS Shortcuts app file structure

A cool place to store your Hi-C

An all-atom protein structure dataset for machine learning.

ROOT I/O in pure Python and NumPy.

3D hotspot mutation proximity analysis tool

Fully Featured Nintendo DS Loader for Ghidra

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

Interchange format for results for static analysis tools

A simple C++ library for reading and writing audio files.

A dependency-free cross-platform swiss army knife for PDB files.

Protein structure comparison tools such as SSAP and SNAP

Inference of couplings in proteins and RNAs from sequence variation

Single Page Web Application for displaying and studying molecular models

FoLiA: Format for Linguistic Annotation - FoLiA is a rich XML-based annotation format for the representation of language resources (including corpora) with linguistic annotations. A wide variety of linguistic annotations are supported, making FoLiA a useful format for NLP tasks and data interchange. Note that the actual Python library for proces…

Nucleotide Archival Format - Compressed file format for DNA/RNA/protein sequences

RosettaDesign using PyRosetta

Modelling the Language of Life - Deep Learning Protein Sequences

TOML file format parser in Haskell

Paratope Prediction using Deep Learning