Zobrazeno 1 - 10
of 17
pro vyhledávání: '"John S. Schardt"'
Autor:
John S. Schardt, Even Walseng, Kim Le, Chunning Yang, Pooja Shah, Ying Fu, Kausar Alam, Cathryn R. Kelton, Yu Gu, Fengying Huang, Jia Lin, Wenhai Liu, Andrew Dippel, Hanzhi Zhang, Kathy Mulgrew, Stacy Pryts, Vijaykumar Chennupati, Hung-Chang Chen, Jessica Denham, Xiaoru Chen, Pallab Pradhan, Yuling Wu, Colin Hardman, Chihao Zhao, Michael Kierny, Yang Song, Simon J. Dovedi, Saso Cemerski, Yariv Mazor
Publikováno v:
mAbs, Vol 16, Iss 1 (2024)
T cell engagers (TCEs) are becoming an integral class of biological therapeutic owing to their highly potent ability to eradicate cancer cells. Nevertheless, the widespread utility of classical CD3-targeted TCEs has been limited by narrow therapeutic
Externí odkaz:
https://doaj.org/article/60b9a30240a24440876eea62946b972e
Autor:
Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, Lina Wu, Matthew D. Smith, Tiexin Wang, Alec A. Desai, Craig N. Streu, Yulei Zhang, Jennifer M. Zupancic, John S. Schardt, Jennifer J. Linderman, Peter M. Tessier
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Optimising antibody properties such as affinity can be detrimental to other key properties. Here the authors use machine learning to simplify the identification of antibodies with co-optimal levels of affinity and specificity for a clinical-stage ant
Externí odkaz:
https://doaj.org/article/0014043dced04499aebddc31d0764ef0
Autor:
John S. Schardt, Ghasidit Pornnoppadol, Alec A. Desai, Kyung Soo Park, Jennifer M. Zupancic, Emily K. Makowski, Matthew D. Smith, Hongwei Chen, Mayara Garcia de Mattos Barbosa, Marilia Cascalho, Thomas M. Lanigan, James J. Moon, Peter M. Tessier
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract Monoclonal antibodies that target SARS-CoV-2 with high affinity are valuable for a wide range of biomedical applications involving novel coronavirus disease (COVID-19) diagnosis, treatment, and prophylactic intervention. Strategies for the r
Externí odkaz:
https://doaj.org/article/75354dc4a1d54b489cf8d0e0fd26f7ef
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 5, p e1010160 (2022)
SARS-CoV-2 variants with enhanced transmissibility represent a serious threat to global health. Here we report machine learning models that can predict the impact of receptor-binding domain (RBD) mutations on receptor (ACE2) affinity, which is linked
Externí odkaz:
https://doaj.org/article/6c417fcc7db24638be21640e45224347
Publikováno v:
Curr Opin Biotechnol
Monoclonal antibodies are being used to treat a remarkable breadth of human disorders. Nevertheless, there are several key challenges at the earliest stages of antibody drug development that need to be addressed using simple and widely accessible met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfdcf48c16e3aafcebe5dd9fce54c2b4
https://doi.org/10.1016/j.copbio.2021.10.027
https://doi.org/10.1016/j.copbio.2021.10.027
Autor:
Weishu Wu, Xiaotian Tan, Jennifer Zupancic, John S. Schardt, Alec A. Desai, Matthew D. Smith, Jie Zhang, Liangzhi Xie, Maung Khaing Oo, Peter M. Tessier, Xudong Fan
Publikováno v:
Anal Chem
Neutralizing monoclonal antibodies and nanobodies have shown promising results as potential therapeutic agents for COVID-19. Identifying such antibodies and nanobodies requires evaluating the neutralization activity of a large number of lead molecule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3293a0dfd611e7b97bfbe71ece8745b
https://doi.org/10.1021/acs.analchem.2c00062
https://doi.org/10.1021/acs.analchem.2c00062
Autor:
John S. Schardt, Matthew D. Smith, Harkamal S. Jhajj, Ryen L. O'Meara, Timon S. Lwo, Peter M. Tessier
Publikováno v:
Drug Discov Today
Agonist antibodies that activate cellular signaling have emerged as promising therapeutics for treating myriad pathologies. Unfortunately, the discovery of rare antibodies with the desired agonist functions is a major bottleneck during drug developme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf343ff2fdb8d0e031cf88d9ead95a6
https://doi.org/10.1016/j.drudis.2021.09.008
https://doi.org/10.1016/j.drudis.2021.09.008
Publikováno v:
PLoS computational biology. 18(5)
SARS-CoV-2 variants with enhanced transmissibility represent a serious threat to global health. Here we report machine learning models that can predict the impact of receptor-binding domain (RBD) mutations on receptor (ACE2) affinity, which is linked
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72e34d2c5fd4bcce9c44eebc1a12fda5
https://pubmed.ncbi.nlm.nih.gov/35639784
https://pubmed.ncbi.nlm.nih.gov/35639784
Autor:
Jennifer M. Zupancic, John S. Schardt, Alec A. Desai, Emily K. Makowski, Matthew D. Smith, Ghasidit Pornnoppadol, Mayara Garcia de Mattos Barbosa, Marilia Cascalho, Thomas M. Lanigan, Peter M. Tessier
Publikováno v:
Advanced Therapeutics
The COVID‐19 pandemic continues to be a severe threat to human health, especially due to current and emerging SARS‐CoV‐2 variants with potential to escape humoral immunity developed after vaccination or infection. The development of broadly neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d45227b11db3beb05999448552ab9c7c
https://pubmed.ncbi.nlm.nih.gov/34514086
https://pubmed.ncbi.nlm.nih.gov/34514086
Autor:
Alex Eli Pottash, William E. Bentley, Steven M. Jay, Herman O. Sintim, Eric VanArsdale, Pricila Hauk, Chelsea Virgile, Kristina Stephens, John S. Schardt
Publikováno v:
ACS Synth Biol
We developed a hybrid synthetic circuit that co-opts the genetic regulation of the native bacterial quorum sensing autoinducer-2 and imposes an extra external controller for maintaining tightly controlled gene expression. This dual-input genetic cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb33d648380d776bd2290cbe368f4e6
https://pubmed.ncbi.nlm.nih.gov/32822530
https://pubmed.ncbi.nlm.nih.gov/32822530