An implementation of ESM2 in Equinox+JAX
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Updated
Apr 20, 2026 - Python
An implementation of ESM2 in Equinox+JAX
End-to-end protein function prediction from structure alone: active sites, binding pockets, GO terms, PPI partners, and drug candidates.
Repository of the paper "Exploring sequence landscape of biosynthetic gene clusters with protein language models" published at ICML2024 workshop Machine Learning for Life and Material Science: From Theory to Industry applications
AI-powered protein mutation analysis platform. Enter any UniProt ID, mutate a residue, and SERAPH, an original ESM2+CNN+BiLSTM model, predicts exactly which secondary structures change and why.
Prediction of anti-fungal proteins using protein language models
Bioinformatics Kaggle project for prime editing RT activity prediction using leave-one-family-out cross-validation and CLS-oriented modeling.
Residue-residue contact prediction using ESM2 enhanced with template-based structural priors from homologous sequences.
Similarity search for protein sequences using ESM-2 embeddings and Approximate Nearest Neighbor (ANN) methods.
Dual-scale (atom + residue) peptide property prediction with cross-attention fusion
Real-time, zero-shot Variant Effect Prediction (VEP) and in-silico mutagenesis engine powered by Meta's ESM-2. Achieves sub-second inference on edge and consumer hardware.
Zero-shot variant pathogenicity prediction via spectral covariance analysis of ESM2 hidden states | Claw4S 2026
Exploring the AMR protein embedding landscape with ESM2 and Ankh. Interactive tool at HuggingFace Spaces.
Reproducible Nextflow + Python pipeline for TCR-epitope binding prediction with Bayesian calibration
ESM2-15B Protein Embeddings
Fusion model of ProtBERT and ESM-2 for cell-penetrating peptide prediction (Reproduction of FusPB-ESM2, Comp. Biol. Chem., 2024)
Multi-phase peptide ML pipeline for hemolysis prediction, generative design, and closed-loop optimization, built on transformers and modern PyTorch tooling.
Federated learning framework for protein language models (ESM2) using NVFlare + Flower. Supports multi-GPU simulation, HPC/SLURM deployment, and HuggingFace dataset integration.
🧬 CAFA6 Protein Function Prediction | Hybrid DL + BLAST Ensemble | Solo Participant | Public LB 0.283
MVP de cribado virtual asistido por IA y docking molecular con biblioteca botanica de Ecuador y Amazonia.
TCR Epitope Generation Model with Top-K Prediction
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