Article

Hallucinating structure-conditioned antibody libraries for target-specific binders

2022-06-06

Abstract excerpt

Antibodies are widely developed and used as therapeutics to treat cancer, infectious disease, and inflammation. During development, initial leads routinely undergo additional engineering to increase their target affinity. Experimental methods for affinity maturation are expensive, laborious, and time-consuming and rarely allow the efficient exploration of the relevant design space. Deep learning (DL) models are tr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: aefe5608-977d-5104-a420-4948edec4ef2
DOI: 10.1101/2022.06.06.494991

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hallucinating structure-conditioned antibody libraries for target-specific bindersDOI 10.1101/2022.06.06.494991Read

Hallucinating structure-conditioned antibody libraries for target-specific bindersSemantic proximity Read

IgDesign: <i>In vitro</i> validated antibody design against multiple therapeutic antigens using inverse foldingSemantic proximity Read

DLAB: deep learning methods for structure-based virtual screening of antibodiesSemantic proximity Read

DLAB - Deep learning methods for structure-based virtual screening of antibodiesSemantic proximity Read

Antibody structure prediction using interpretable deep learningSemantic proximity Read

<i>In silico</i> design of stable single-domain antibodies with high affinitySemantic proximity Read

De novo design of therapeutic scFvs and multi-specific engagers from sequence aloneSemantic proximity Read

Lab-in-the-loop therapeutic antibody design with deep learningSemantic proximity Read

A Generative Foundation Model for Antibody DesignSemantic proximity Read

<i>In silico</i> evolution of protein binders with deep learning models for structure prediction and sequence designSemantic proximity Read

AB-Gen: Antibody Library Design with Generative Pre-trained Transformer and Deep Reinforcement LearningSemantic proximity Read

Machine Learning-Guided Antibody Engineering That Leverages Domain Knowledge To Overcome The Small Data ProblemSemantic proximity Read