Open source code for AlphaFold 2.
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Official git repository for Biopython (originally converted from CVS)
- python
- bioinformatics
- genomics
- biopython
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
Biomni: a general-purpose biomedical AI agent
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
- python
- ecg
- eda
- emg
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
- ai4science
- research
Chai-1, SOTA model for biomolecular structure prediction
Implementation of Alphafold 3 from Google Deepmind in Pytorch
- artificial-intelligence
- deep-learning
- attention-mechanisms
- denoising-diffusion
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
- artificial-intelligence
- deep-learning
- protein-folding
- attention-mechanism
An open-source application for biological image analysis
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Sequential regulatory activity predictions with deep convolutional neural networks.
A dependency-free cross-platform swiss army knife for PDB files.
- python
- protein
- pdb
- bioinformatics
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
RNA-seq prediction with deep convolutional neural networks.
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
- bioinformatics
- cancer-research
- computational-biology
- drug-repurposing
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
- cellprofiler-analyst
- cellprofiler
- image-analysis
- machine-learning
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery