Literature DB >> 30499778

Discovery of selective inhibitors for cyclic AMP response element-binding protein: a combined ligand and structure-based resources pipeline.

Iqra Muneer1, Muhammad T Ul Qamar2, Kishver Tusleem3, Sadaf Abdul Rauf4, Hafiz M J Hussain1, Abdul R Siddiqi5.   

Abstract

Bromodomains are epigenetic readers of acetyl-lysine involved in chromatin remodeling and transcriptional regulations. Over the past few years, extensive research has been carried out to discover small-molecule inhibitors against bromodomains to treat various diseases. Cyclic AMP response element-binding protein (CREBBP) bromodomain has emerged as a hot target for cancer therapy. This study aims at discovering new inhibitors against CREBBP bromodomain using ligand-based molecular docking. A library of 2168 lead-like compounds were docked into the Kac binding site of CREBBP bromodomain. On the basis of the energy score and interaction analysis, six compounds were selected. In order to validate the stability of these six protein-ligand complexes 20 ns molecular dynamics simulations and principal component analyses were carried out. Based on the different analyses these six compounds may provide valuable information for developing CREBBP selective inhibitors.

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Year:  2019        PMID: 30499778     DOI: 10.1097/CAD.0000000000000727

Source DB:  PubMed          Journal:  Anticancer Drugs        ISSN: 0959-4973            Impact factor:   2.248


  13 in total

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Journal:  Molecules       Date:  2021-01-28       Impact factor: 4.411

5.  Discovery of anti-MERS-CoV small covalent inhibitors through pharmacophore modeling, covalent docking and molecular dynamics simulation.

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6.  Structural basis of SARS-CoV-2 3CLpro and anti-COVID-19 drug discovery from medicinal plants.

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7.  Promising Terpenes as Natural Antagonists of Cancer: An In-Silico Approach.

Authors:  Ziyad Tariq Muhseen; Guanglin Li
Journal:  Molecules       Date:  2019-12-30       Impact factor: 4.411

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9.  Determination of Novel Anti-Cancer Agents by Targeting OGG1 Enzyme Using Integrated Bioinformatics Methods.

Authors:  Ziyad Tariq Muhseen; Mustafa Hussein Ali; Nawar Rushdi Jaber; Dheyaa Shakir Mashrea; Ali Mamoon Alfalki; Guanglin Li
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10.  Structure-Based Pharmacophore Modeling, Virtual Screening, Molecular Docking, ADMET, and Molecular Dynamics (MD) Simulation of Potential Inhibitors of PD-L1 from the Library of Marine Natural Products.

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Journal:  Mar Drugs       Date:  2021-12-25       Impact factor: 5.118

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