Sequence modeling and design from molecular to genome scale with Evo
The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an
organism's function. We present Evo, a long-context genomic foundation model with a …
organism's function. We present Evo, a long-context genomic foundation model with a …
Rapid in silico directed evolution by a protein language model with EVOLVEpro
K Jiang, Z Yan, M Di Bernardo, SR Sgrizzi, L Villiger… - Science, 2024 - science.org
Directed protein evolution is central to biomedical applications but faces challenges like
experimental complexity, inefficient multi-property optimization, and local maxima traps …
experimental complexity, inefficient multi-property optimization, and local maxima traps …
Predicting adaptive immune receptor specificities by machine learning is a data generation problem
Determining the specificity of adaptive immune receptors—B cell receptors (BCRs), their
secreted form antibodies, and T cell receptors (TCRs)—is critical for understanding immune …
secreted form antibodies, and T cell receptors (TCRs)—is critical for understanding immune …
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
The adaptive immune system holds invaluable information on past and present immune
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …
Pretrainable geometric graph neural network for antibody affinity maturation
Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody
therapeutics development. This paper presents a pretrainable geometric graph neural …
therapeutics development. This paper presents a pretrainable geometric graph neural …
The Nobel Prize in Chemistry: past, present, and future of AI in biology
LA Abriata - Communications Biology, 2024 - nature.com
The work by Hassabis and Jumper on protein structure prediction together with Baker's
supremacy in de novo protein design set the stage for a future where AI not only deciphers …
supremacy in de novo protein design set the stage for a future where AI not only deciphers …
Rapid protein evolution by few-shot learning with a protein language model
K Jiang, Z Yan, M Di Bernardo, SR Sgrizzi, L Villiger… - …, 2024 - pmc.ncbi.nlm.nih.gov
Directed evolution of proteins is critical for applications in basic biological research,
therapeutics, diagnostics, and sustainability. However, directed evolution methods are labor …
therapeutics, diagnostics, and sustainability. However, directed evolution methods are labor …
Discovery of highly active kynureninases for cancer immunotherapy through protein language model
Tailor-made enzymes empower a wide range of versatile applications, although searching
for the desirable enzymes often requires high throughput screening and thus poses …
for the desirable enzymes often requires high throughput screening and thus poses …
Structure and dynamics of the interaction of Delta and Omicron BA. 1 SARS-CoV-2 variants with REGN10987 Fab reveal mechanism of antibody action
EN Lyukmanova, EB Pichkur, DE Nolde… - Communications …, 2024 - nature.com
Study of mechanisms by which antibodies recognize different viral strains is necessary for
the development of new drugs and vaccines to treat COVID-19 and other infections. Here …
the development of new drugs and vaccines to treat COVID-19 and other infections. Here …
Allosteric antibodies: a novel paradigm in drug discovery
L Fournier, E Guarnera, H Kolmar, S Becker - Trends in Pharmacological …, 2024 - cell.com
Allostery represents a fundamental mechanism in protein regulation, enabling modulation of
protein function from sites distal to the active site. While traditionally explored in the context …
protein function from sites distal to the active site. While traditionally explored in the context …