Article

DLAB - Deep learning methods for structure-based virtual screening of antibodies

2021-02-14

Abstract excerpt

Antibodies are one of the most important classes of pharmaceuticals, with over 80 approved molecules currently in use against a wide variety of diseases. The drug discovery process for antibody therapeutic candidates however is time-and cost-intensive and heavily reliant on in-vivo and in-vitro high throughput screens. Here, we introduce a framework for structure-based deep learning for antibodies (DLAB) which c...

Topics

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

Identifiers and source

Literature Corpus work: f4a16649-7c12-52aa-95b6-753c4b70e586
DOI: 10.1101/2021.02.12.430941

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DLAB - Deep learning methods for structure-based virtual screening of antibodiesDOI 10.1101/2021.02.12.430941Read

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

Antibody structure prediction using interpretable deep learningSemantic proximity Read

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodiesSemantic proximity Read

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodiesSemantic proximity Read

Simultaneous prediction of antibody backbone and side-chain conformations with deep learningSemantic proximity Read

ARID-sf: A physics-informed Deep Learning scoring function to improve Antibody-Antigen docking model rankingSemantic proximity Read

AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.Semantic proximity Read

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

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

Advances in computational structure-based antibody designSemantic proximity Read

Parapred: antibody paratope prediction using convolutional and recurrent neural networksSemantic proximity Read

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