Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Manvitha Ponnapati"'
Autor:
Pranam Chatterjee, Manvitha Ponnapati, Christian Kramme, Alexandru M. Plesa, George M. Church, Joseph M. Jacobson
Publikováno v:
Communications Biology, Vol 3, Iss 1, Pp 1-8 (2020)
Pranam Chatterjee et al. present a novel computational platform for engineering peptide fusions that bind to the SARS-CoV-2 spike protein and tag it for proteasomal degradation. They experimentally validate an optimal variant in human cells, showing
Externí odkaz:
https://doaj.org/article/c38f96c2ae5f4bc7940b60f8c64fa945
Autor:
Garyk Brixi, Tianzheng Ye, Kalyan Palepu, Lauren Hong, Vivian Yudistyra, Sophia Vincoff, Jayani Christopher, Xinning Li, Suhaas Bhat, Connor Monticello, Natalia Lopez-Barbosa, Lillian Petersen, Tian-Lai Zang, Tong Liu, Lin Zhao, Sue Zhang, Manvitha Ponnapati, Emma Tysinger, Teodora Stan, Sabrina Koseki, Matthew DeLisa, Pranam Chatterjee
Here, we integrate fine-tuned protein language models and protein-protein interaction databases to develop a Structure-agnostic Language Transformer & Peptide Prioritization module that efficiently selects peptides from interaction interfaces, withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe54c68539f2d58a2da2d3a773bed263
https://doi.org/10.21203/rs.3.rs-1694183/v1
https://doi.org/10.21203/rs.3.rs-1694183/v1
Autor:
Sabrina Koseki, Lauren Hong, Vivian Yudistyra, Teodora Stan, Emma Tysinger, Rachel Silverstein, Christian Kramme, Nadia Amrani, Natasha Savic, Martin Pacesa, Tomás Rodriguez, Manvitha Ponnapati, Joseph Jacobson, George Church, Ray Truant, Martin Jinek, Benjamin Kleinstiver, Erik Sontheimer, Pranam Chatterjee
CRISPR enzymes require a defined protospacer adjacent motif (PAM) flanking a guide RNA-programmed target site, limiting their sequence accessibility for robust genome editing applications. In this study, we recombine the PAM-interacting domain of SpR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc773ed8423a1eacd9b56425b4f34ee
https://doi.org/10.21203/rs.3.rs-2625838/v1
https://doi.org/10.21203/rs.3.rs-2625838/v1
Autor:
Christian Kramme, Pranam Chatterjee, Alexandru M Plesa, George M. Church, Joseph M. Jacobson, Manvitha Ponnapati
Publikováno v:
Communications Biology, Vol 3, Iss 1, Pp 1-8 (2020)
Communications Biology
Communications Biology
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With only a few vaccines approved for early or limited use, there is a critical need for effective antiviral strategie
The novel coronavirus SARS-CoV-2 continues to pose a significant global health threat. Along with vaccines and targeted therapeutics, there is a critical need for rapid diagnostic solutions. In this work, we employ deep learning-based protein design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::113333719c1a70503201936108308cce
https://doi.org/10.1101/2021.06.04.447114
https://doi.org/10.1101/2021.06.04.447114
Determining the structure of proteins has been a long-standing goal in biology. Language models have been recently deployed to capture the evolutionary semantics of protein sequences. Enriched with multiple sequence alignments (MSA), these models can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31bf3c4856c2cf55af570c26def6b6dc
https://doi.org/10.1101/2021.06.02.446809
https://doi.org/10.1101/2021.06.02.446809
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With no approved cure or vaccine currently available, there is a critical need for effective antiviral strategies. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27066d72c40125c3e8959dbf910a0716
https://doi.org/10.1101/2020.06.01.127829
https://doi.org/10.1101/2020.06.01.127829