ABiology & Biomedical Research
AlphaFold
DeepMind's protein-structure prediction system, with open AlphaFold 2 code and a public database of predicted structures.
proteinsstructure prediction
View tool RESEARCH CATEGORY
Biology & Biomedical Research
Work with biological data, proteins, and medical imaging. The database currently includes 10 tools in this category.
BBiology & Biomedical Research
Benchling
A cloud platform for biotechnology research that combines electronic lab records, sequence tools, and research data management.
electronic lab notebooksequence design
View tool DBiology & Biomedical Research
DeepChem
An open-source Python library for applying machine learning to drug discovery, quantum chemistry, biology, and materials problems.
drug discoverymachine learning
View tool NBiology & Biomedical Research
NVIDIA BioNeMo
A collection of frameworks, models, and deployment tools for generative AI in biomolecular and drug research.
biomolecular AIdrug research
View tool OBiology & Biomedical Research
OpenFold
A trainable open-source implementation of AlphaFold 2 intended for protein-structure research and model development.
proteinsopen model
View tool CBiology & Biomedical Research
ColabFold
An open-source workflow that combines accelerated sequence search with AlphaFold-based structure prediction.
proteinsstructure prediction
View tool NBiology & Biomedical Research
NCBI BLAST
NCBI sequence-search tools for finding local similarity between nucleotide or protein queries and sequence databases.
sequence searchbioinformatics
View tool GBiology & Biomedical Research
Galaxy
An open web platform for running, documenting, and sharing reproducible computational biology workflows.
bioinformaticsreproducible workflows
View tool CBiology & Biomedical Research
CellProfiler
Open-source software for building pipelines that measure cellular and other biological features in microscopy images.
microscopycell analysis
View tool MBiology & Biomedical Research
MONAI
An open-source framework built on PyTorch for developing and deploying deep-learning workflows in medical imaging.
medical imagingdeep learning
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