Jean-Marc Neefs
Janssen Pharmaceutica
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Publication
Featured researches published by Jean-Marc Neefs.
FEBS Letters | 2000
Ilse Van den Wyngaert; Winfred de Vries; Andreas Kremer; Jean-Marc Neefs; Peter Verhasselt; Walter Luyten; Stefan U. Kass
To date, seven different human histone deacetylases (HDACs) have been identified, which fall into two distinct classes. We have isolated and characterized a cDNA encoding a novel human HDAC, which we name HDAC8. HDAC8 shows a high degree of sequence similarity to HDAC1 and HDAC2 and thus belongs to the class I of HDACs. HDAC8 is expressed in a variety of tissues. Human cells overexpressing HDAC8 localize the protein in sub‐nuclear compartments whereas HDAC1 shows an even nuclear distribution. In addition, the HDAC8 gene is localized on the X chromosome at position q13, which is close to the XIST gene and chromosomal breakpoints associated with preleukemia.
Journal of Biological Chemistry | 1999
Menelas N. Pangalos; Jean-Marc Neefs; Marijke Somers; Peter Verhasselt; Mariette Bekkers; Liesbet van der Helm; Erwin Fraiponts; David Ashton; Robert Gordon
Hydrolysis of the neuropeptideN-acetyl-l-aspartyl-l-glutamate (NAAG) by N-acetylated α-linked acidic dipeptidase (NAALADase) to release glutamate may be important in a number of neurodegenerative disorders in which excitotoxic mechanisms are implicated. The gene coding for human prostate-specific membrane antigen, a marker of prostatic carcinomas, and its rat homologue glutamate carboxypeptidase II have recently been shown to possess such NAALADase activity. In contrast, a closely related member of this gene family, rat ileal 100-kDa protein, possesses a dipeptidyl peptidase IV activity. Here, we describe the cloning of human ileal 100-kDa protein, which we have called a NAALADase- “like” (NAALADase L) peptidase based on its sequence similarity to other members of this gene family, and its inability to hydrolyze NAAG in transient transfection experiments. Furthermore, we describe the cloning of a third novel member of this gene family, NAALADase II, which codes for a type II integral membrane protein and which we have localized to chromosome 11 by fluorescent in situ hybridization analysis. Transient transfection of NAALADase II cDNA confers both NAALADase and dipeptidyl peptidase IV activity to COS cells. Expression studies using reverse transcription-polymerase chain reaction and Northern blot hybridization show that NAALADase II is highly expressed in ovary and testis as well as within discrete brain areas.
Drug Discovery Today | 2015
Edgar Jacoby; Gary Tresadern; Scott D. Bembenek; Berthold Wroblowski; Christophe Francis Robert Nestor Buyck; Jean-Marc Neefs; Dmitrii Rassokhin; Alain Philippe Poncelet; Jeremy Hunt; Herman van Vlijmen
The explored kinome was extended with broad profiling using the DiscoveRx and Millipore assay panels. The analysis of the profiling of 3368 selected inhibitors on 456 kinases in the DiscoveRx format delivered several insights. First, the coverage depended on the threshold of the selectivity parameter. Second, the relation between hit confirmation rates and inhibitor selectivity showed unexpectedly that higher selectivity can increase the likelihood of false positives. Third, comparing the coverage of a focused to that of a random library showed that the design based on a maximum number of scaffolds was superior to a limited number of scaffolds. Therefore, selective compounds can be used in target validation, enable the jumpstarting of new kinase drug discovery projects, and chart new biological space via phenotypic screening.
PLOS ONE | 2014
Joseline Ratnam; Barbara Zdrazil; Daniela Digles; Emiliano Cuadrado-Rodriguez; Jean-Marc Neefs; Hannah Tipney; Ronald Siebes; Andra Waagmeester; Glyn Bradley; Chau Han Chau; Lars Richter; José Antonio Fraiz Brea; Chris T. Evelo; Edgar Jacoby; Stefan Senger; María Isabel Loza; Gerhard F. Ecker; Christine Chichester
Integration of open access, curated, high-quality information from multiple disciplines in the Life and Biomedical Sciences provides a holistic understanding of the domain. Additionally, the effective linking of diverse data sources can unearth hidden relationships and guide potential research strategies. However, given the lack of consistency between descriptors and identifiers used in different resources and the absence of a simple mechanism to link them, gathering and combining relevant, comprehensive information from diverse databases remains a challenge. The Open Pharmacological Concepts Triple Store (Open PHACTS) is an Innovative Medicines Initiative project that uses semantic web technology approaches to enable scientists to easily access and process data from multiple sources to solve real-world drug discovery problems. The project draws together sources of publicly-available pharmacological, physicochemical and biomolecular data, represents it in a stable infrastructure and provides well-defined information exploration and retrieval methods. Here, we highlight the utility of this platform in conjunction with workflow tools to solve pharmacological research questions that require interoperability between target, compound, and pathway data. Use cases presented herein cover 1) the comprehensive identification of chemical matter for a dopamine receptor drug discovery program 2) the identification of compounds active against all targets in the Epidermal growth factor receptor (ErbB) signaling pathway that have a relevance to disease and 3) the evaluation of established targets in the Vitamin D metabolism pathway to aid novel Vitamin D analogue design. The example workflows presented illustrate how the Open PHACTS Discovery Platform can be used to exploit existing knowledge and generate new hypotheses in the process of drug discovery.
Molecular Informatics | 2018
Edgar Jacoby; Berthold Wroblowski; Christophe Francis Robert Nestor Buyck; Jean-Marc Neefs; Christophe Meyer; Maxwell D. Cummings; Herman van Vlijmen
Protocols for the design of kinase‐focused compound libraries are presented. Kinase‐focused compound libraries can be differentiated based on the design goal. Depending on whether the library should be a discovery library specific for one particular kinase, a general discovery library for multiple distinct kinase projects, or even phenotypic screening, there exists today a variety of in silico methods to design candidate compound libraries. We address the following scenarios: 1) Datamining of SAR databases and kinase focused vendor catalogues; 2) Predictions and virtual screening; 3) Structure‐based design of combinatorial kinase inhibitors; 4) Design of covalent kinase inhibitors; 5) Design of macrocyclic kinase inhibitors; and 6) Design of allosteric kinase inhibitors and activators.
Science | 2005
Koen Andries; Peter Verhasselt; Jérôme Emile Georges Guillemont; Hinrich Göhlmann; Jean-Marc Neefs; Hans Winkler; Jef Van Gestel; Philip Timmerman; Min Zhu; Ennis Lee; Peter A. Williams; Didier de Chaffoy; Emma Huitric; Sven Hoffner; Emmanuelle Cambau; Chantal Truffot-Pernot; Nacer Lounis; Vincent Jarlier
MedChemComm | 2016
Daniela Digles; Barbara Zdrazil; Jean-Marc Neefs; H. van Vlijmen; C. Herhaus; Andrei Caracoti; José Antonio Fraiz Brea; B. Roibás; María Isabel Loza; N. Queralt-Rosinach; Laura I. Furlong; Anna Gaulton; L. Bartek; Stefan Senger; Christine Chichester; Ola Engkvist; Chris T. Evelo; N. I. Franklin; D. Marren; Gerhard F. Ecker; Edgar Jacoby
Molecular and Cellular Endocrinology | 2000
Eiji Kutoh; Nicolas Ongenae; An Claeskens; Willy Verheyen; Paul Cheyns; Jean-Marc Neefs; Paul Kaijen
Archive | 2005
Koenraad Jozef Lodewijk Marcel Andries; Hinrich Wilhelm Helmut Göhlmann; Jean-Marc Neefs; Peter Verhasselt; Johann Winkler; Marc René De Jonge; Lucien Maria Henricus Koymans
Archive | 1999
Menlas Pangalos; Jean-Marc Neefs; Danielle Peeters