Respiratory syncytial virus prevention within reach: the vaccine and monoclonal antibody landscape
Respiratory syncytial virus is the second most common cause of infant mortality and a major
cause of morbidity and mortality in older adults (aged> 60 years). Efforts to develop a …
cause of morbidity and mortality in older adults (aged> 60 years). Efforts to develop a …
Vaccine adjuvants: mechanisms and platforms
T Zhao, Y Cai, Y Jiang, X He, Y Wei, Y Yu… - Signal transduction and …, 2023 - nature.com
Adjuvants are indispensable components of vaccines. Despite being widely used in
vaccines, their action mechanisms are not yet clear. With a greater understanding of the …
vaccines, their action mechanisms are not yet clear. With a greater understanding of the …
De novo design of protein structure and function with RFdiffusion
There has been considerable recent progress in designing new proteins using deep-
learning methods,,,,,,,–. Despite this progress, a general deep-learning framework for protein …
learning methods,,,,,,,–. Despite this progress, a general deep-learning framework for protein …
Robust deep learning–based protein sequence design using ProteinMPNN
Although deep learning has revolutionized protein structure prediction, almost all
experimentally characterized de novo protein designs have been generated using …
experimentally characterized de novo protein designs have been generated using …
De novo design of protein interactions with learned surface fingerprints
Physical interactions between proteins are essential for most biological processes
governing life. However, the molecular determinants of such interactions have been …
governing life. However, the molecular determinants of such interactions have been …
Broad betacoronavirus neutralization by a stem helix–specific human antibody
The spillovers of betacoronaviruses in humans and the emergence of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlight the need for broad …
respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlight the need for broad …
Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models
There has been considerable recent progress in designing new proteins using deep
learning methods–. Despite this progress, a general deep learning framework for protein …
learning methods–. Despite this progress, a general deep learning framework for protein …
Antibodies to combat viral infections: development strategies and progress
G Pantaleo, B Correia, C Fenwick, VS Joo… - Nature Reviews Drug …, 2022 - nature.com
Monoclonal antibodies (mAbs) are appealing as potential therapeutics and prophylactics for
viral infections owing to characteristics such as their high specificity and their ability to …
viral infections owing to characteristics such as their high specificity and their ability to …
Rethinking attention with performers
We introduce Performers, Transformer architectures which can estimate regular (softmax)
full-rank-attention Transformers with provable accuracy, but using only linear (as opposed to …
full-rank-attention Transformers with provable accuracy, but using only linear (as opposed to …
Protein assembly by design
Proteins are nature's primary building blocks for the construction of sophisticated molecular
machines and dynamic materials, ranging from protein complexes such as photosystem II …
machines and dynamic materials, ranging from protein complexes such as photosystem II …