Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andrei Loas"'
Autor:
Chia-Ling Wu, Annika B. Malmberg, Jenna A. Wood, Andrei Loas, Kamela Bellovoda, Eva M. López-Vidal, Carly K. Schissel, Somesh Mohapatra, Bradley L. Pentelute, Rafael Gómez-Bombarelli
Publikováno v:
JACS Au, Vol 1, Iss 11, Pp 2009-2020 (2021)
JACS Au
JACS Au
Therapeutic macromolecules such as proteins and oligonucleotides can be highly efficacious but are often limited to extracellular targets due to the cell's impermeable membrane. Cell-penetrating peptides (CPPs) are able to deliver such macromolecules
Autor:
Somesh Mohapatra, Chia-Ling Wu, Annika B. Malmberg, Kamela Bellovoda, Andrei Loas, Colin M. Fadzen, Rafael Gómez-Bombarelli, Jenna A. Wood, Carly K. Schissel, Justin M. Wolfe, Bradley L. Pentelute
Publikováno v:
Nat Chem
There are more amino acid permutations within a 40-residue sequence than atoms on Earth. This vast chemical search space hinders the use of human learning to design functional polymers. Here we show how machine learning enables the de novo design of
Autor:
Genwei Zhang, Chengxi Li, Hong Zong, Nina Hartrampf, David Verhoeven, Carly K. Schissel, Gunnar J. Hanson, Alexander J. Mijalis, Bradley L. Pentelute, Kyle A. Totaro, Nicola L. B. Pohl, Kruttika-Suhas Phadke, Mark D. Simon, Andrei Loas, Ming Zhou, Alex J. Callahan
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Nature Communications
Nature Communications
Rapid development of antisense therapies can enable on-demand responses to new viral pathogens and make personalized medicine for genetic diseases practical. Antisense phosphorodiamidate morpholino oligomers (PMOs) are promising candidates to fill su
Publikováno v:
Chemical Science
In-solution affinity selection (AS) of large synthetic peptide libraries affords identification of binders to protein targets through access to an expanded chemical space. Standard affinity selection methods, however, can be time-consuming, low-throu
Autor:
Rafael Gómez-Bombarelli, Andrei Loas, Somesh Mohapatra, Chia-Ling Wu, Colin M. Fadzen, Carly K. Schissel, Annika B. Malmberg, Justin M. Wolfe, Kamela Bellovoda, Bradley L. Pentelute, Jenna A. Wood
There are more amino acid permutations within a 40-residue sequence than atoms on Earth. This vast chemical search space hinders the use of human learning to design functional polymers. Here we couple supervised and unsupervised deep learning with hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c093b86f73cfa35cae5d339b2727c067
https://doi.org/10.1101/2020.04.10.036566
https://doi.org/10.1101/2020.04.10.036566