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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 841–864 of 1004 filtered models
Manufacturing-aware generative sequence models whose parameters are DNA synthesis reaction conditions, so designs are made in vitro at petascale.
RNA language model adapted from ESM-2 by cross-modality transfer learning, matching RNA-native baselines with 1/8 the trainable parameters.
Open-source reproduction of AlphaFold 3 that predicts structures of proteins, DNA, RNA, and small-molecule ligands, including their mixed complexes.
End-to-end framework predicting protein structure and mutational fitness from a single sequence, with five-fold faster inference than ESMFold.
Multimodal contrastive model aligning protein structure and sequence with ligand conformation and graph to retrieve binders without docking.
Peptide-spectrum match rescoring for proteomics, scoring a full MS/MS spectrum against a candidate peptide without training on decoy sequences.
All-atom protein generation model that samples side chains, backbone, and sequence together from a single diffusion process over atom coordinates.
Template-guided protein design model that miniaturizes, diversifies, or expands a natural protein by decoding a fixed-size probabilistic encoding.
Conditional diffusion model that generates P-type ATPase backbone conformations in a specified E1, E1P, E2P, or E2 functional state.
Chemical language model reading modified and cyclic peptides as SMILES, fine-tuned to predict passive membrane diffusion of macrocycles.
Enzyme redesign framework built on a structure-to-sequence protein network, scoring mutants and generating sequences without retraining.
Text-to-text biological language model spanning molecules, proteins, and text, adding IUPAC names and multi-task instruction tuning to BioT5.
De novo peptide binder design framework that targets specific motifs, including disordered regions and conserved epitopes, from target sequence alone.
Reshapes a frozen ESM-2 latent space by contrasting it against EC, GO, InterPro and Gene3D ontology tokens for function-aware protein embeddings.
Generates protein sequences from EC, GO, InterPro and Gene3D prompts by cross-attending an ESM-2 decoder onto an annotation transformer encoder.
Extends an ESM-2 token embedding matrix with EC, GO, InterPro and Gene3D tokens so one transformer reads residues and ontology terms together.
Genome language model that embeds a genome as a set of contextualized protein embeddings, pretrained on over 100,000 viruses for viromics.
Protein complex structure assembly guided by predicted inter-chain domain-domain distances, averaging TM-score 0.769 across 46 CASP13-15 targets.
Predicts the radius of gyration of intrinsically disordered proteins from 23 physics-derived sequence features, screening missense mutants in bulk.
Structure-based mutational effect prediction from local atomic environments, scoring how substitutions change protein stability and binding affinity.
Lightweight AlphaFlow variant that fine-tunes only AlphaFold's structure module, keeping the Evoformer frozen to cut conformational sampling cost.
Generative biological foundation model placing DNA, RNA, and protein in one shared vocabulary, spanning genomic, proteomic, and cross-molecule tasks.
Multimodal generative protein language model reasoning jointly over protein sequence, structure, and function, trained at 98B parameters.