Jwalk and MNXL web server: model validation using restraints from crosslinking mass spectrometry | Zendy

Joshua Matthew Allen Bullock | Zendy; Konstantinos Thalassinos | Zendy; Maya Topf | Zendy

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Jwalk and MNXL web server: model validation using restraints from crosslinking mass spectrometry

Author(s) -

Joshua Matthew Allen Bullock,

Konstantinos Thalassinos,

Maya Topf

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty366

Subject(s) - computer science , web server , mass spectrometry , source code , code (set theory) , process (computing) , filter (signal processing) , database , quality (philosophy) , data mining , set (abstract data type) , chemistry , operating system , chromatography , the internet , programming language , philosophy , epistemology , computer vision

Crosslinking Mass Spectrometry generates restraints that can be used to model proteins and protein complexes. Previously, we have developed two methods, to help users achieve better modelling performance from their crosslinking restraints: Jwalk, to estimate solvent accessible distances between crosslinked residues and MNXL, to assess the quality of the models based on these distances.

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