Literature DB >> 28958213

Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor.

Uma Devi Bommu1, Kranthi Kumar Konidala2, Neeraja Pabbaraju2, Suneetha Yeguvapalli1.   

Abstract

The present study was to explore expectation and examination of therapeutic potential quercetin analogs as efficient anticancer agents against human epidermal growth factor receptor (EGFR), which is a consistent hallmark for moderating the non-small-cell lung carcinoma (NSCLC). Here, ligand-based virtual screening, pharmacophore approach and molecular docking were established as rational strategies for recognition of small analogs against the ligand binding domain of EGFR (PDB code: 1XKK). Adverse effects, toxicogenomics and pharmacokinetics reported that 10 candidates showed reliable consequences with less side effects and more efficient for target receptor. Protein-ligand interaction profiles revealed that the probable H-bonds, atomic-π contacts, salt bridges and van der Waals interactions sustain the complexity and stability of receptor structure; thus, they could complicate to generate single alteration acquired for drug resistance. In silico anticancer properties explain the lead scaffolds which are assumed to be flexible and experimentally proved chemicals. The overall consequences indicated that recognized leads could be utilized as reference skeletons for new inhibitors envisaging toward EGFR to ameliorate NSCLC and other malignant disorders.

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Keywords:  ADME/Tox analysis; EGFR; QSAR-based clustering; ligand-based virtual screening; molecular docking; quercetin

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Year:  2017        PMID: 28958213     DOI: 10.1080/10799893.2017.1377237

Source DB:  PubMed          Journal:  J Recept Signal Transduct Res        ISSN: 1079-9893            Impact factor:   2.092


  2 in total

1.  In silico insights into prediction and analysis of potential novel pyrrolopyridine analogs against human MAPKAPK-2: a new SAR-based hierarchical clustering approach.

Authors:  Kranthi Kumar Konidala; Uma Devi Bommu; Suneetha Yeguvapalli; Neeraja Pabbaraju
Journal:  3 Biotech       Date:  2018-08-23       Impact factor: 2.406

2.  Piperazine-substituted derivatives of favipiravir for Nipah virus inhibition: What do in silico studies unravel?

Authors:  Raju Lipin; Anantha Krishnan Dhanabalan; Krishnasamy Gunasekaran; Rajadurai Vijay Solomon
Journal:  SN Appl Sci       Date:  2021-01-11
  2 in total

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