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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 673–696 of 1004 filtered models
Adenylation domain substrate specificity prediction from frozen ESM-2 embeddings, with zero-shot calls on substrates absent from training.
Protein backbone generation with a diffusion model whose noise schedule is derived from the renormalization group rather than heuristically tuned.
Binder motif prediction from receptor structure alone, mapping 14 functional-group types across a protein surface as reusable interaction profiles.
Cryo-EM reconstruction with neural radiance fields in Euclidean 3D space, separating conformational motion from compositional assembly states.
Generative transformer that writes candidate cognate epitope sequences from a TCR CDR3-beta input, annotating repertoires without functional assays.
Antimicrobial peptide discovery from metagenome-assembled genomes, labelling AMP residues with a LoRA-adapted ESM-2 token classifier.
Drug-target interaction model that compresses any compound into a 15-bit hierarchical code, so billion-compound libraries can be screened in seconds.
Open-source PyTorch reproduction of AlphaFold 3 under Apache 2.0, matching or exceeding AF3 on protein-ligand, protein-protein, and RNA benchmarks.
Antimicrobial peptide generator fine-tuned from ProGen2, trained against a frozen ESM-2 encoder's latent space as an approximate function checker.
Anti-phage defense gene classifier pairing protein language model embeddings with genomic features to find immune systems outside defense islands.
Genomic language model reading bacterial gene neighborhoods as sentences of protein-family tokens to predict anti-phage defense function.
Malate dehydrogenase sequence generator fine-tuned from ProGen2, with a latent-space distance term that lifted functional generations to 96.8%.
Protein language model fine-tuned to score any bacterial protein for anti-phage defense function, detecting homology too remote for HMM profiles.
Protein expression prediction that pinpoints expression-governing residues by matching a language model landscape against measured fitness data.
Multimodal 80B-parameter protein-language model that answers natural language questions about protein function from sequence and structure.
CRISPR-Cas PAM specificity prediction directly from Cas protein sequence, plus computational evolution of Cas9 variants toward a chosen PAM.
TCR-epitope binding prediction with a dual-branch transformer-CNN, inside a pipeline that ranks cancer neoepitopes from patient sequencing data.
Text-guided protein design framework aligning language with sequences for text-conditioned generation, zero-shot editing, and property prediction.
Phage protein function annotation from sequence, assigning hierarchical functional categories from frozen protein language model embeddings.
Transformer predicting microbial gene expression from an annotated genome alone, using protein language model embeddings of every coding sequence.
Protein-text foundation model aligning sequences with function descriptions through segment-wise objectives for static and dynamic functional sites.
Multi-omics instruction-tuned LLM that reads DNA, RNA, protein, and multi-molecule sequences and answers natural-language questions about them.
Phosphorylation site prediction from protein sequence. A LoRA-adapted ESM-2 encoder feeds a conformer, reaching 79.5% AUC at serine sites.