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A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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162 of 7,765 resources matching “protein”
Showing 51–100
genbio-ai/GB.StructureEncoder
by genbio-aiencoder-only component of GB.StructureTokenizer for tokenization of protein structures.
polymathic-ai/MIMIC
by polymathic-aiprotein together with a range of structural and functional tracks
Trinity-Mini-AI-Scientist
introvoyz041/DrugGen-2
by introvoyz041SMILES structures based on both disease pathways and protein sequence.
trillionlabs/TxGravity-30B-A5B
by trillionlabsprotein–protein and peptide–MHC interaction, and more — following the…
Phsntom/ESMFold2-Fast
by Phsntomprotein structure prediction and design that defines a new frontier
alimotahharynia/DrugGen-2
by alimotahharyniaSMILES structures based on both disease pathways and protein sequence.
650M with LoRA for predicting protein subcellular localization (10 classes).
genesisml/decaf
by genesismlDistilling Boltz: Flow Maps for Fast All-Atom Cofolding
🤗 Blog | 📄 Paper | 💻 Code | 🌐 FineMed | 🩺 DoctoBERT
trillionlabs/Gravity-bio-16B-A3B
by trillionlabsGravity-bio-16B-A3B is a biology-focus midtrained model
inflammatory-aging-clock/somascan-85
by inflammatory-aging-clockprotein aging clock that predicts chronological age from 85 unique
inflammatory-aging-clock/olink-inflammation-92
by inflammatory-aging-clockprotein aging clock that predicts chronological age from 92 Olink
fairydance/molexar-10m-base
by fairydanceMolexar-10M Base is the unconditional base model for Molexar
fairydance/molexar-10m-omni
by fairydanceMolexar-10M Omni is the universal multi-condition model for
nvidia/NV-KERMT-70M-v2
by nvidia> Source code, training scripts, and inference utilities for this
both molecules and proteins within a single decoder-only architecture.
PengJiaMa123/RAMER
by PengJiaMa123This Hugging Face repository stores the official resources for RAMER
promptable and aligned protein language models for protein sequence generation.
Babajaan/KAU-BioMedLLM
by BabajaanKAU-BioMedLLM is a research prototype for source-grounded biomedical
moritztng/boltz-2
by moritztngMirror of the Boltz-2 structure- and affinity-prediction weights
RomeroLab-Duke/prism-antibody
by RomeroLab-DukePRISM is an antibody language model that jointly predicts amino
escalante-bio/jpromera
by escalante-bioJAX/Equinox parameters for Promera, a dual-purpose biomolecular generative model
biohub/esm3-sm-open-v1
by biohubprotein sequences, 236 million protein structures, and 539 million proteins
This model card provides an overview of the intended use
This model card provides an overview of the intended use
biohub/esmc-600m-2024-12
by biohubThis set of model weights was released with the GitHub
protein language model for protein sequence generation. It is the smallest
protein language model for protein sequence generation. It is the largest
poolside-laguna-hackathon/protein-ligand-design
by poolside-laguna-hackathon!Protein-ligand interaction header
biohub/esmc-300m-2024-12
by biohubThis set of model weights was released with the GitHub
aasatorres/esm2-sae-topk-16384-k512
by aasatorres650M, layer 33) for interpretability research on protein language models.
DISCO-Design/DISCO
by DISCO-Designprotein sequences and 3D structures, conditioned on and co-folded
Hamdan003/inventmol-r1
by Hamdan003Target-Conditioned Molecular Ideation Model for Drug Discovery Research
Gemma 4 E2B fine-tuned on 225K drug–target pairs
macwiatrak/bacformer-large-masked-MAG
by macwiatrak- 2025-05-15: We identified a bug in the Bacformer
- 2025-05-15: We identified a bug in the Bacformer
Heath-AFM-Lab/afMLevel-mask-unet
by Heath-AFM-LabThis U‑Net model masks features in Atomic Force Microscopy
InstaDeepAI/instanovo-v1.0.0
by InstaDeepAI# InstaNovo: De novo Peptide Sequencing Model ## Model Description
InstaDeepAI/instanovo-v1.1.0
by InstaDeepAI# InstaNovo: De novo Peptide Sequencing Model ## Model Description
stephenjun8192/esm2-35m-sparse50
by stephenjun8192A 50% magnitude-pruned version of facebook/esm2t1235MUR50D optimized for efficient