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.
Prediction of anti-fungal proteins using protein language models
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.
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
Similarity search for protein sequences using ESM-2 embeddings and Approximate Nearest Neighbor (ANN) methods.
Antimicrobial peptide discovery via ESM-2 fine-tuning. LoRA training on ESCAPE/GenPept-Curated-2025/PepBenchmark with multilabel evaluation.
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.
Construct-validity audit of the standard blood–brain barrier (BBB) peptide benchmark: an identity-controlled re-evaluation + shared-source provenance/overlap map, with an open, CPU-reproducible evaluation harness. Do these predictors measure penetration, or their benchmarks?
🧬 SUCF: 结构门控的跨模态融合网络 — 通过融合蛋白质序列和结构信息预测生物活性,使用 pLDDT 门控 RGAT + Mamba 融合,Baseline 93.89% Accuracy
Transformer fusion pipeline for protein binding-site prediction using ESM2 protein embeddings, physicochemical surface descriptors, and neighbourhood-aware attention.
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.
AI-guided protein mutation design tool. ESM-2 scoring + 3Dmol.js viewer + DeepSeek AI tutor.
Unified Python library and CLI for protein structure prediction and inverse folding.
Zero-shot variant pathogenicity prediction via spectral covariance analysis of ESM2 hidden states | Claw4S 2026
Information-optimal experimental budget allocation for mapping protein epistasis (zero-shot, ESM-2). Validates on GB1 complete landscape.
Fine-tuning ESM-2 with LoRA for enzyme family classification. Homology-aware splitting, calibrated uncertainty, integrated gradients interpretability, and FastAPI inference. Built for production.
Dual-scale peptide property prediction with atom/residue encoders and cross-attention fusion.
Federated learning framework for protein language models (ESM2) using NVFlare + Flower. Supports multi-GPU simulation, HPC/SLURM deployment, and HuggingFace dataset integration.
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