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TopCysteineDB: A Cysteinome-wide Database Integrating Structural and Chemoproteomics Data for Cysteine Ligandability Prediction.

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Bibliographic Details
Title: TopCysteineDB: A Cysteinome-wide Database Integrating Structural and Chemoproteomics Data for Cysteine Ligandability Prediction.
Authors: Bonus M; Institute for Pharmaceutical and Medicinal Chemistry, Heinrich Heine University, Düsseldorf 40225 Düsseldorf, Germany., Greb J; Institute for Pharmaceutical and Medicinal Chemistry, Heinrich Heine University, Düsseldorf 40225 Düsseldorf, Germany., Majmudar JD; Pfizer Research & Development, Cambridge, MA 02139, United States., Boehm M; Pfizer Research & Development, Cambridge, MA 02139, United States., Korczynska M; Pfizer Research & Development, Cambridge, MA 02139, United States., Nazemi A; Pfizer Research & Development, Cambridge, MA 02139, United States., Mathiowetz AM; Pfizer Research & Development, Cambridge, MA 02139, United States., Gohlke H; Institute for Pharmaceutical and Medicinal Chemistry, Heinrich Heine University, Düsseldorf 40225 Düsseldorf, Germany; Institute of Bio- and Geosciences (IBG4: Bioinformatics), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. Electronic address: gohlke@hhu.de.
Source: Journal of molecular biology [J Mol Biol] 2025 Aug 01; Vol. 437 (15), pp. 169196. Date of Electronic Publication: 2025 May 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 2985088R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1089-8638 (Electronic) Linking ISSN: 00222836 NLM ISO Abbreviation: J Mol Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1089-8638
DOI:10.1016/j.jmb.2025.169196