All Competitors

A reasoning LLM fine-tuned on clinical antimicrobial-susceptibility data augmented with mechanistic rationales, predicting susceptibility with explanations for novel isolate-antibiotic pairs.

LoRA fine-tuning framework for ESM-2 with multi-head attention pooling and contact map enhancement for sequence-only protein property prediction across diverse tasks.

Lightweight variant of AlphaFlow achieving ~47x faster conformational ensemble sampling by fine-tuning only AlphaFold's structure module with frozen Evoformer.

Multimodal protein language model extending ESM-2 and SaProt with a Structure Adapter that encodes backbone and side-chain torsion angles for improved function prediction.

AlphaFold fine-tuned with flow matching to generate conformational ensembles, capturing protein dynamics and flexibility beyond single static structures.

AlphaFold fine-tuned via OpenFold on 944 high-resolution MHC-peptide crystal structures, achieving median peptide RMSD of 0.65 Å on held-out complexes.

LoRA and QLoRA fine-tuning of ESM-2 for token-level prediction of protein binding sites and post-translational modification sites from sequence alone.

AlphaFold-derived model from Google DeepMind that predicts missense variant pathogenicity across the entire human proteome with AuROC 0.940 on ClinVar.

AlphaFold fine-tuned on peptide-MHC and protein-peptide binding data for specificity prediction across MHC class I/II, PDZ, and SH3 domains.