Zobrazeno 1 - 4
of 4
pro vyhledávání: '"SM Bargeen Alam Turzo"'
Autor:
SM Bargeen Alam Turzo, Justin T. Seffernick, Amber D. Rolland, Micah T. Donor, Sten Heinze, James S. Prell, Vicki H. Wysocki, Steffen Lindert
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Collision cross sections (CCS) from ion mobility mass spectrometry provide information about protein shape and size. Here, the authors develop an algorithm to predict CCS and integrate experimental ion mobility data into Rosetta-based molecular model
Externí odkaz:
https://doaj.org/article/303314d1bc3e4445821c95a69c584e9a
Publikováno v:
QRB Discovery, Vol 3 (2022)
Machine learning (ML) has revolutionised the field of structure-based drug design (SBDD) in recent years. During the training stage, ML techniques typically analyse large amounts of experimentally determined data to create predictive models in order
Externí odkaz:
https://doaj.org/article/409527c4cb6540dd9a36ccbf0483dd59
Publikováno v:
The Journal of Physical Chemistry B. 126:8439-8446
The combination of deep learning and sequence data has transformed protein structure prediction and modeling, evidenced in the success of AlphaFold (AF). For this reason, many methods have been developed to take advantage of this success in areas whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ee3fa8f215a61bd41a2dc3ae979c388
https://doi.org/10.1021/acs.jpcb.2c05508
https://doi.org/10.1021/acs.jpcb.2c05508
Autor:
Justin T. Seffernick, SM Bargeen Alam Turzo, Sophie R. Harvey, Yongseok Kim, Árpád Somogyi, Shir Marciano, Vicki H. Wysocki, Steffen Lindert
Publikováno v:
Analytical chemistry. 94(29)
Understanding the relationship between protein structure and experimental data is crucial for utilizing experiments to solve biochemical problems and optimizing the use of sparse experimental data for structural interpretation. Tandem mass spectromet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a95b2b1d650815ce36d6991b85f96604
https://pubmed.ncbi.nlm.nih.gov/35834801
https://pubmed.ncbi.nlm.nih.gov/35834801