Literature DB >> 35037187

Molecular dynamics simulations, docking and MMGBSA studies of newly designed peptide-conjugated glucosyloxy stilbene derivatives with tumor cell receptors.

Mia I Rico1, Charlotta G Lebedenko1, Saige M Mitchell1, Ipsita A Banerjee2.   

Abstract

In this work, for the first time, we designed derivatives of beta-D-glucosyloxy-3-hydroxy-trans-stiblene-2-carboxylic acid (GHS), by conjugating GHS with tumor targeting peptides RPARPAR and GGKRPAR to target over-expressed receptors in tumor cells. The sequences RPARPAR and GGKRPAR are known to target the neuropilin1 (NRP1) receptor due to the C-terminal Arg domain; however, their effectiveness has never been examined with other commonly over-expressed receptors in tumor cells, particularly of chronic lymphocytic leukemia that include integrin α1β1 and CD22. By conjugating these peptides with GHS, which is known for its inherent anti-cancer properties, the goal is to further enhance tumor cell targeting by developing compounds that can target multiple receptors. The physicochemical properties of the conjugates and individual peptides were analyzed using Turbomole and COSMOthermX20 in order to determine their hydrogen bond accepting and donating capabilities. The web server POCASA was used in order to determine the surface cavities and binding pockets of the three receptors. To explore the binding affinities, we conducted molecular docking studies with the peptides and the conjugates with each of the receptors. After molecular docking, the complexes were analyzed using Protein-Ligand Interaction Profiler to determine the types of interactions involved. Molecular dynamics simulation studies were conducted to explore the stability of the receptor-ligand complexes. Our results indicated that in most cases the conjugates showed higher binding and stability with the receptors. Additionally, highly stable complexes of conjugates were obtained with CD22, NRP1 and in most cases with the integrin α1β1 receptor as well. The binding energies were calculated for each of the receptor ligand complexes through trajectory analysis using MMGBSA studies. SwissADME studies revealed that the compounds showed low GI absorption and were not found to be CYP inhibitors and had bioavailability score that would allow them to be considered as potential drug candidates. Overall, our results for the first time show that the designed conjugates can target multiple over-expressed receptors in tumor cells and may be potentially developed as future therapeutics for targeting tumor cells.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Binding interactions; CD22; Integrin; Molecular simulations; NRP1; Receptors

Mesh:

Substances:

Year:  2022        PMID: 35037187     DOI: 10.1007/s11030-021-10354-9

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   3.364


  50 in total

Review 1.  Anticancer Activity of Stilbene-Based Derivatives.

Authors:  Barbara De Filippis; Alessandra Ammazzalorso; Marialuigia Fantacuzzi; Letizia Giampietro; Cristina Maccallini; Rosa Amoroso
Journal:  ChemMedChem       Date:  2017-03-28       Impact factor: 3.466

2.  Dual-receptor targeted strategy in nanoparticle design achieves tumor cell selectivity through cooperativity.

Authors:  Jared Francis Stefanick; David Thomas Omstead; Tanyel Kiziltepe; Basar Bilgicer
Journal:  Nanoscale       Date:  2019-03-07       Impact factor: 7.790

3.  Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy.

Authors:  Jiansong Fang; Zengrui Wu; Chuipu Cai; Qi Wang; Yun Tang; Feixiong Cheng
Journal:  J Chem Inf Model       Date:  2017-10-13       Impact factor: 4.956

Review 4.  Natural stilbenoids: distribution in the plant kingdom and chemotaxonomic interest in Vitaceae.

Authors:  Céline Rivière; Alison D Pawlus; Jean-Michel Mérillon
Journal:  Nat Prod Rep       Date:  2012-11       Impact factor: 13.423

Review 5.  The Use of Stilbene Scaffold in Medicinal Chemistry and Multi- Target Drug Design.

Authors:  Elisa Giacomini; Sebastiano Rupiani; Laura Guidotti; Maurizio Recanatini; Marinella Roberti
Journal:  Curr Med Chem       Date:  2016       Impact factor: 4.530

Review 6.  Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery.

Authors:  Nagasundaram Nagarajan; Edward K Y Yapp; Nguyen Quoc Khanh Le; Balu Kamaraj; Abeer Mohammed Al-Subaie; Hui-Yuan Yeh
Journal:  Biomed Res Int       Date:  2019-11-11       Impact factor: 3.411

Review 7.  In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein-Protein Interactions.

Authors:  Zahra Sadat Hashemi; Mahboubeh Zarei; Mohsen Karami Fath; Mahmoud Ganji; Mahboube Shahrabi Farahani; Fatemeh Afsharnouri; Navid Pourzardosht; Bahman Khalesi; Abolfazl Jahangiri; Mohammad Reza Rahbar; Saeed Khalili
Journal:  Front Mol Biosci       Date:  2021-04-28

8.  Identification of a peptide for folate receptor alpha by phage display and its tumor targeting activity in ovary cancer xenograft.

Authors:  Lijun Xing; Yifeng Xu; Keyong Sun; Hong Wang; Fengguo Zhang; Zhengpin Zhou; Juan Zhang; Fang Zhang; Bilgen Caliskan; Zheng Qiu; Min Wang
Journal:  Sci Rep       Date:  2018-05-30       Impact factor: 4.379

Review 9.  Peptide phage display as a tool for drug discovery: targeting membrane receptors.

Authors:  Peter Molek; Borut Strukelj; Tomaz Bratkovic
Journal:  Molecules       Date:  2011-01-21       Impact factor: 4.411

10.  In silico models for designing and discovering novel anticancer peptides.

Authors:  Atul Tyagi; Pallavi Kapoor; Rahul Kumar; Kumardeep Chaudhary; Ankur Gautam; G P S Raghava
Journal:  Sci Rep       Date:  2013-10-18       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.