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Abstract

In Silico Fragment-Based Drug Design and Molecular Docking of Tranilast Analogues as Potential Inhibitors of Transforming Growth Factor- β Receptor Type 1 †

by
Nusaiba A. Babiker
1,
Ahmed T. Negmeldin
1,2,3 and
Eman M. El-labbad
1,4,*
1
Department of Pharmaceutical Sciences, College of Pharmacy, Gulf Medical University, Ajman 4184, United Arab Emirates
2
Thumbay Research Institute for Precision Medicine (TRIPM), Gulf Medical University, Ajman 4184, United Arab Emirates
3
Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Cairo University, Cairo 11562, Egypt
4
Pharmaceutical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Abbassia, Cairo 11566, Egypt
*
Author to whom correspondence should be addressed.
Presented at the 8th International Electronic Conference on Medicinal Chemistry, 1–30 November 2022; Available online: https://ecmc2022.sciforum.net/.
Med. Sci. Forum 2022, 14(1), 75; https://doi.org/10.3390/ECMC2022-13472
Published: 1 November 2022
(This article belongs to the Proceedings of The 8th International Electronic Conference on Medicinal Chemistry)

Abstract

:
Transforming Growth Factor- β Receptor type 1 (TGF-βR1) is an important anticancer target involved in promoting cell proliferation, progression, and metastasis through the induction of angiogenesis and suppression of immunological responses during the late stage of malignancy. Tranilast was initially approved for the treatment of bronchial asthma and allergic conditions in 1982. Later, it was revealed that Tranilast had numerous effects on cancer hallmarks, including immune evasion and sustained proliferation via the inhibition of TGF-βR1. This research describes the design of a novel series of anthranilate derivatives having various modes of interactions with TGF-βR1 compared with Tranilast. A database of novel Tranilast analogues was generated using Molecular Operating Environment Software (MOE 2020.09, Chemical Computing Group CCG, Montréal, Canada) using fragment-based drug design. Representative compounds were selected from the database and docked in the identified binding site of TGF-βR1. Several compounds showed higher binding affinity for TGF-βR1 compared with the lead compound in this work, Tranilast. Compounds with high docking scores contained a positively charged amine group that interacted with Asp290 or a negatively charged carboxylate group with Lys 335 in the TGF-βR1 ATP binding site. Additionally, compounds containing an aromatic group showed high docking scores through interacting with Ser287, Lys337, or Ile 211. Compounds A11, A14, A16, and B5 which had the best poses in terms of binding interactions and docking scores to the binding site will be considered for further synthesis and biological evaluation.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ECMC2022-13472/s1.

Author Contributions

Conceptualization, N.A.B., A.T.N. and E.M.E.-l.; methodology, N.A.B.; validation A.T.N. and E.M.E.-l., writing original draft N.A.B., reviewing , editing supervision A.T.N. and E.M.E.-l. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Babiker, N.A.; Negmeldin, A.T.; El-labbad, E.M. In Silico Fragment-Based Drug Design and Molecular Docking of Tranilast Analogues as Potential Inhibitors of Transforming Growth Factor- β Receptor Type 1. Med. Sci. Forum 2022, 14, 75. https://doi.org/10.3390/ECMC2022-13472

AMA Style

Babiker NA, Negmeldin AT, El-labbad EM. In Silico Fragment-Based Drug Design and Molecular Docking of Tranilast Analogues as Potential Inhibitors of Transforming Growth Factor- β Receptor Type 1. Medical Sciences Forum. 2022; 14(1):75. https://doi.org/10.3390/ECMC2022-13472

Chicago/Turabian Style

Babiker, Nusaiba A., Ahmed T. Negmeldin, and Eman M. El-labbad. 2022. "In Silico Fragment-Based Drug Design and Molecular Docking of Tranilast Analogues as Potential Inhibitors of Transforming Growth Factor- β Receptor Type 1" Medical Sciences Forum 14, no. 1: 75. https://doi.org/10.3390/ECMC2022-13472

APA Style

Babiker, N. A., Negmeldin, A. T., & El-labbad, E. M. (2022). In Silico Fragment-Based Drug Design and Molecular Docking of Tranilast Analogues as Potential Inhibitors of Transforming Growth Factor- β Receptor Type 1. Medical Sciences Forum, 14(1), 75. https://doi.org/10.3390/ECMC2022-13472

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