Development of comprehensive and user-friendly bioinformatics tools to study protein structures and interactions in mass spectrometry-based chemical cross-linking

Publications

Peer reviewed articles (2)

MaxDIA enables library-based and library-free data-independent acquisition proteomics

Author(s): Pavel Sinitcyn, Hamid Hamzeiy, Favio Salinas Soto, Daniel Itzhak, Frank McCarthy, Christoph Wichmann, Martin Steger, Uli Ohmayer, Ute Distler, Stephanie Kaspar-Schoenefeld, Nikita Prianichnikov, Şule Yılmaz, Jan Daniel Rudolph, Stefan Tenzer, Yasset Perez-Riverol, Nagarjuna Nagaraj, Sean J. Humphrey & Jürgen Cox
Published in: Nature Biotechnology, 39, 2021, Page(s) 1563–1573, ISSN 1087-0156
Publisher: Nature Publishing Group
DOI: 10.1038/s41587-021-00968-7

Accurate and Automated High-Coverage Identification of Chemically Cross-Linked Peptides with MaxLynx

Author(s): Şule Yılmaz, Florian Busch, Nagarjuna Nagaraj, and Jürgen Cox
Published in: Analytical Chemistry, 94(3), 2022, Page(s) 1608–1617, ISSN 0003-2700
Publisher: American Chemical Society
DOI: 10.1021/acs.analchem.1c03688