Literature DB >> 30925062

Identification of Thienopyrimidine Scaffold as an Inhibitor of the ABC Transport Protein ABCC1 (MRP1) and Related Transporters Using a Combined Virtual Screening Approach.

Katja Silbermann1, Sven Marcel Stefan1, Randa Elshawadfy1, Vigneshwaran Namasivayam1, Michael Wiese1.   

Abstract

A virtual screening protocol with combination of similarity search and pharmacophore modeling was applied to virtually screen a large compound library to gain new scaffolds regarding ABCC1 inhibition. Biological investigation of promising candidates revealed four compounds as ABCC1 inhibitors, three of them with scaffolds not associated with ABCC1 inhibition until now. The best hit molecule-a thienopyrimidine-was a moderately potent, competitive inhibitor of the ABCC1-mediated transport of calcein AM which also sensitized ABCC1-overexpressing cells toward daunorubicin. Further evaluation showed that it was a moderately potent, competitive inhibitor of the ABCB1-mediated transport of calcein AM, and noncompetitive inhibitor of the ABCG2-mediated pheophorbide A transport. In addition, the thienopyrimidine could also sensitize ABCB1- as well as ABCG2-overexpressing cells toward daunorubicin and SN-38, respectively, in concentration ranges that qualified it as one of the ten best triple ABCC1/ABCB1/ABCG2 inhibitors in the literature. Besides, three more new multitarget inhibitors were identified by this virtual screening approach.

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Year:  2019        PMID: 30925062     DOI: 10.1021/acs.jmedchem.8b01821

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  8 in total

1.  Strategies to gain novel Alzheimer's disease diagnostics and therapeutics using modulators of ABCA transporters.

Authors:  Jens Pahnke; Pablo Bascuñana; Mirjam Brackhan; Katja Stefan; Vigneshwaran Namasivayam; Radosveta Koldamova; Jingyun Wu; Luisa Möhle; Sven Marcel Stefan
Journal:  Free Neuropathol       Date:  2021-12-13

2.  Design and evaluation of pyrimidine derivatives as potent inhibitors of ABCG2, a breast cancer resistance protein.

Authors:  Shahnawaz Ahmad; Md Imtaiyaz Hassan; Dinesh Gupta; Neeraj Dwivedi; Asimul Islam
Journal:  3 Biotech       Date:  2022-07-19       Impact factor: 2.893

3.  C@PA: Computer-Aided Pattern Analysis to Predict Multitarget ABC Transporter Inhibitors.

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Michael Wiese; Jens Pahnke; Sven Marcel Stefan
Journal:  J Med Chem       Date:  2021-03-16       Impact factor: 7.446

4.  Structural feature-driven pattern analysis for multitarget modulator landscapes.

Authors:  Vigneshwaran Namasivayam; Katja Stefan; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Bioinformatics       Date:  2021-12-09       Impact factor: 6.937

5.  Binding mode analysis of ABCA7 for the prediction of novel Alzheimer's disease therapeutics.

Authors:  Vigneshwaran Namasivayam; Katja Stefan; Jens Pahnke; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-11-27       Impact factor: 7.271

6.  Astroblastomas exhibit radial glia stem cell lineages and differential expression of imprinted and X-inactivation escape genes.

Authors:  Norman L Lehman; Nathalie Spassky; Müge Sak; Amy Webb; Cory T Zumbar; Aisulu Usubalieva; Khaled J Alkhateeb; Joseph P McElroy; Kirsteen H Maclean; Paolo Fadda; Tom Liu; Vineela Gangalapudi; Jamie Carver; Zied Abdullaev; Cynthia Timmers; John R Parker; Christopher R Pierson; Bret C Mobley; Murat Gokden; Eyas M Hattab; Timothy Parrett; Ralph X Cooke; Trang D Lehman; Stefan Costinean; Anil Parwani; Brian J Williams; Randy L Jensen; Kenneth Aldape; Akshitkumar M Mistry
Journal:  Nat Commun       Date:  2022-04-19       Impact factor: 17.694

7.  A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors.

Authors:  Sven Marcel Stefan; Patric Jan Jansson; Jens Pahnke; Vigneshwaran Namasivayam
Journal:  Sci Data       Date:  2022-07-26       Impact factor: 8.501

8.  Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA).

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-05-10       Impact factor: 7.271

  8 in total

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