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StructureProfiler: an all-in-one tool for 3D protein structure profiling
ZBH–Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.ORCID iD: 0000-0001-8519-5780
ZBH–Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.
ZBH–Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.ORCID iD: 0000-0001-5343-7255
ZBH–Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.
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2018 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 35, no 5, p. 874-876Article in journal (Refereed) Published
Abstract [en]

Motivation Three-dimensional protein structures are important starting points for elucidating protein function and applications like drug design. Computational methods in this area rely on high quality validation datasets which are usually manually assembled. Due to the increase in published structures as well as the increasing demand for specially tailored validation datasets, automatic procedures should be adopted.

Results StructureProfiler is a new tool for automatic, objective and customizable profiling of X-ray protein structures based on the most frequently applied selection criteria currently in use to assemble benchmark datasets. As examples, four dataset configurations (Astex, Iridium, Platinum, combined), all results of the combined tests and the list of all PDB Ids passing the combined criteria set are attached in the Supplementary Material.

Place, publisher, year, edition, pages
2018. Vol. 35, no 5, p. 874-876
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:uu:diva-472099DOI: 10.1093/bioinformatics/bty692ISI: 000467227300021PubMedID: 30124779OAI: oai:DiVA.org:uu-472099DiVA, id: diva2:1649940
Available from: 2022-04-05 Created: 2022-04-05 Last updated: 2022-04-08Bibliographically approved
In thesis
1. Structure-based Virtual Screening for Ligands of G Protein-coupled Receptors: Design of Allosteric and Dual-Target Modulators
Open this publication in new window or tab >>Structure-based Virtual Screening for Ligands of G Protein-coupled Receptors: Design of Allosteric and Dual-Target Modulators
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

G protein-coupled receptors (GPCRs) are integral membrane proteins responsible for signal transduction of extracellular stimuli into the cell. Because of their widespread distribution throughout the human body and important roles in physiological processes, GPCRs are prominent drug targets and approximately 34% of all approved drugs interact with members of this superfamily. GPCR ligands are used as drugs against various diseases, including neurodegenerative and neuropsychiatric disorders. The increased availability of GPCR structural information has enhanced understanding of GPCR function but also enables structure-based drug design (SBDD). This thesis focuses on SBDD targeting allosteric and orthosteric binding sites of GPCRs and strategies to identify multi-target ligands. Drug discovery campaigns are traditionally based on the one-target-one-drug paradigm, but effective treatment of complex neurological disorders generally requires modulation of several signaling pathways. In publication I, dual-target ligands that activate the D2 dopamine receptor (D2R) and antagonize the A2A adenosine receptor (A2AAR) were designed through a structure-based approach. Both GPCRs are relevant for Parkinson’s disease (PD) and animal studies support that interactions with these targets induce neuroprotection while eliciting a synergistic therapeutic effect. One of the designed ligands was shown to yield an antiparkinsonian effect in a rodent model. Publication II focuses on the identification of negative allosteric modulators (NAMs) of the metabotropic glutamate receptor 5 (mGlu5) using structure-based virtual screening. Such modulators have been considered as a treatment of PD, fragile X syndrome and depression. The study discovered 11 allosteric modulators and four of these were also shown to be NAMs of mGlu5. Manuscript III describes the development of dual-target ligands acting as antagonists of the A2AAR and NAMs of mGlu5. Blocking the activity of both receptors has been shown to have a synergistic antiparkinsonian effect that could be both symptomatic and neuroprotective. In this study, virtual screening was used to discover drug-like compounds with submicromolar binding affinity to both targets. Publication IV presents a comprehensive review of SBDD targeting GPCRs of all classes with a specific focus on the method of molecular docking. Publication V describes a program for automatic validation of X-ray crystal structures. Possible applications involve assessment of protein structures used in SBDD or the generation of high-quality test sets for the evaluation of molecular docking methods. The results of this thesis illustrate that structure-based virtual screening is a versatile tool to discover ligands with tailored pharmacological properties.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2022. p. 69
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2141
Keywords
G protein-coupled receptors, Polypharmacology, Molecular Docking, Structure-based Drug Design, Parkinson’s Disease, Virtual Screening, Allosteric Modulators
National Category
Bioinformatics (Computational Biology)
Research subject
Bioinformatics
Identifiers
urn:nbn:se:uu:diva-472101 (URN)978-91-513-1483-9 (ISBN)
Public defence
2022-05-24, A1:111a, Uppsala biomedicinska centrum (BMC), Husargatan 3, 75123 Uppsala, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2022-05-03 Created: 2022-04-05 Last updated: 2022-06-15

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Kampen, Stefanie

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