AbLang empowers researchers with capabilities like embeddings, sequence restoration, and likelihood computation, directly catering to the unique structural and functional attributes of heavy/light-chain antibodies. AbLang's deep learning framework, trained on an extensive collection of heavy-chain antibody sequences, offers unparalleled insights into their design and optimization for therapeutic applications.
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antibody generator embeddings predict generate
AbLang is an advanced AI language model tailored for antibody design, enabling embeddings, sequence restoration, and computing likelihoods for heavy/light-chain antibodies. Trained on a comprehensive database of human antibody sequences, AbLang can provide insights into antibody sequence functionality, and aid in the development of therapeutic antibodies.
BioLMTox API
protein similarity toxin tokenize
We trained a NLP toxin detector to 98%+ recall, precision, and accuracy, creating a model that can recognize novel pathogenic sequences with as little as 60% identity to known toxins. Use this endpoint to screen pathogenic bacteria, potential neurotoxins and ion-channels, and other proteins. Obtain meaningful tokens related to pathogenicity. Perform semantic similarity searches.
Chai-1 is a multi-modal foundation model for molecular structure prediction, state-of-the-art across protein, small molecule, DNA, RNA, and glycosylation.
dna BERT
Analyze DNA sequences with precision using, leveraging a pretrained BERT model for accurate genomic feature prediction and interpretation directly from raw DNA strings.
dna BERT
This pre-trained language model surpasses conventional methods, providing superior accuracy and insights for DNA sequence classification, variant calling, and more. Ideal for researchers aiming to unlock genomic complexities efficiently.
enzyme protein maturation esm
First of five models in the ESM-1v series, each trained with a different seed. Predict favorable or unfavorable point-variants. NLP model trained on UniRef90. Zero-shot (unsupervised) predictor of functional effects. Ensemble with the remaining four models for best results. doi
ESM1v ALL
Conveniently retrieve predictions from all five ESM-1v models for a given position, allowing for rapid variant ranking and deep mutational scans.
enzyme protein maturation esm
Conveniently retrieve predictions from all five ESM-1v models for a given position, allowing for rapid variant ranking and deep mutational scans.
ESM1v N1
The 1st of the ESM-1v models, for unmasking AA positional likelihoods.
enzyme protein maturation esm
The 1st of the ESM-1v models, for unmasking AA positional likelihoods.
ESM1v N2
The 2nd of the ESM-1v models, for unmasking AA positional likelihoods.
ESM1v N3
The 3rd of the ESM-1v models, for unmasking AA positional likelihoods.
ESM1v N4
The 4th of the ESM-1v models, for unmasking AA positional likelihoods.
ESM1v N5
The 5th of the ESM-1v models, for unmasking AA positional likelihoods.
enzyme protein maturation esm
The 5th of the ESM-1v models, for unmasking AA positional likelihoods.
ESM2 150M
A larger ESM-2 model with increased capacity, ideal for generating highly informative embeddings and contact maps.
ESM2 35M
A mid-sized ESM-2 model offering a balance of efficiency and accuracy for embeddings and contact maps.
enzyme protein embeddings esm logits
Use this 2nd-largest ESM-2 model for highly informative embeddings, contact maps, and more.
ESM2 650M
The largest ESM-2 model available in this API, delivering the highest accuracy and richest embeddings for advanced protein analysis.
ESM2 8M
The smallest ESM-2 model, optimized for fast embeddings and contact maps, suitable for lightweight applications.
ESMFold
protein
Predict folded protein structures, whether single-chain or multi-chain, with speed and accuracy. Generate PDBs via REST in seconds, leveraging one of the most powerful protein language models available. doi
protein structure prediction esm
For multi-chain proteins like antibodies, predict the folded structure in seconds with v2 of ESMFold. Similar results, speed, and accuracy to single-chain folding endpoint, but now available for more complex sequences. PDBs via REST in less than a minute, using one of the largest protein LMs to date. doi
protein generator esm
ESM-IF1 Inverse Folding enables the generation of novel protein sequences tailored to fold into a specified 3D structure, as denoted by a PDB string.
ProGen2 variant trained on BFD90 dataset, excelling in diverse protein design applications.
protein generator gpt
BFD-90 pretrained model from the suite of ProGen2 generative models. Tune outputs with your choice of pretrained model, temperature, length, and more.
A 2.7B parameter model providing enhanced capabilities for complex protein generation tasks.
protein generator gpt
ProGen2 Large contains 2.7B parameters and is the second-largest model in the suite of generative models. Tune outputs with your choice of pretrained model, temperature, length, and more.
A 764M parameter model offering a balance between computational efficiency and performance for general protein generation tasks.
protein generator gp2
For faster protein generation, use this 764M parameter model from the ProGen2 suite of generative models. Tune outputs with your choice of pretrained model, temperature, length, and more.
antibody generator gpt
ProGen2 OAS was trained on the Observed Antibody Space, making it more suitable to some generative-antibody applications. Tune outputs with your choice of pretrained model, temperature, length, and more.
ProstT5 AA2Fold API
folding proteins
ProstT5 Fold2AA API
folding proteins
enzyme protein prediction EC
ProteInfer EC Prediction API leverages AI to accurately predict enzyme commission (EC) numbers from protein sequences, enhancing enzymatic research and biotechnological applications.
protein GO predictor function
Harness the power of deep learning to predict Gene Ontology (GO) terms for proteins directly from sequence data. ProteInfer leverages a comprehensive dataset and advanced models to provide accurate functional annotations, offering insights into biological processes, cellular components, and molecular functions.
UniRef50 Embedding Similars API
Accelerate your protein sequence searches with our blazing-fast Nearest Neighbors Search API. By leveraging protein language models to generate vector embeddings for over 65 million UniRef50 sequences, our service enables lightning-fast similarity searches that are 1,200 times faster than traditional Levenshtein-based methods like BLAST.
ZymCTRL API
enzymes generation