google-deepmind / alphamissenseLinks
☆590Updated last year
Alternatives and similar repositories for alphamissense
Users that are interested in alphamissense are comparing it to the libraries listed below
Sorting:
- Foundation Models for Genomics & Transcriptomics☆706Updated 2 months ago
- Foldseek enables fast and sensitive comparisons of large structure sets.☆1,074Updated last month
- Genomic Pre-trained Network☆292Updated last week
- [ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome☆421Updated last month
- The ViennaRNA Package☆362Updated 2 months ago
- AlphaFold2 non-docker setup☆365Updated last year
- gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.☆272Updated this week
- ColabFold on your local PC☆767Updated 3 months ago
- Generation of protein sequences and evolutionary alignments via discrete diffusion models☆641Updated 4 months ago
- Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena☆720Updated 5 months ago
- A comprehensive library for computational molecular biology☆863Updated 3 weeks ago
- Remote protein homology detection suite.☆594Updated last month
- Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch☆793Updated 2 weeks ago
- 🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨☆412Updated last month
- RoseTTAFold2 protein/nucleic acid complex prediction☆365Updated last year
- Official release of the ProGen models☆673Updated 2 years ago
- ☆755Updated 4 months ago
- User friendly and accurate binder design pipeline☆814Updated last month
- This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.☆1,240Updated this week
- Nature Methods: RNA foundation model (together with RhoFold)☆309Updated 4 months ago
- An awesome repository of community-curated applications of ChatGPT and other LLMs in computational biology☆264Updated last year
- State is a machine learning model that predicts cellular perturbation response across diverse contexts☆409Updated this week
- ☆555Updated 6 months ago
- BioNeMo Framework: For building and adapting AI models in drug discovery at scale☆531Updated this week
- MMseqs2: ultra fast and sensitive search and clustering suite☆1,834Updated last week
- Sequential regulatory activity predictions with deep convolutional neural networks.☆452Updated 4 months ago
- ☆293Updated last week
- Making Protein Design accessible to all via Google Colab!☆818Updated this week
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆183Updated last year
- 🧬 gget enables efficient querying of genomic reference databases☆1,058Updated last week