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      2D-QSAR Modeling and Molecular Docking Studies on 1 H-Pyrazole-1-carbothioamide Derivatives as EGFR Kinase Inhibitors

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          Abstract

          Epidermal growth factor receptor (EGFR) kinase has been commonly associated with cancers such as lung, ovarian, hormone-refractory prostate, metastatic colorectal, glioblastoma, pancreatic, and breast cancers. A series of 1 H-pyrazole-1-carbothioamide derivatives and their EGFR inhibitory activities were subjected to two-dimensional (2D) quantitative structure–activity relationship (2D-QSAR) studies. The 2D-QSAR models were constructed based on a forward selection of partial least-squares (PLS) and stepwise multiple linear regression (SW-MLR) methods validated by leave-one-out (LOO) and external test set prediction approaches. The stepwise multiple linear regression (SW-MLR) method presented an encouraging result as compared to other methods. The results of the study indicated that the activity of 1 H-pyrazole-1-carbothioamide derivatives as an EGFR kinase inhibitor was more influenced by adjacency distance matrix descriptors. The models were improved after outlier removal through the applicability domain. Based on the resultant models, 11 new compounds with high potency were designed as EGFR kinase inhibitors. Molecular docking studies were performed for designing compounds, and they were compared with erlotinib as a reference to predict their interactions in the active site and identify structural features necessary for producing biological activities.

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          Linear Model Selection by Cross-validation

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            Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.

            This article provides an overview of methods for reliability assessment of quantitative structure-activity relationship (QSAR) models in the context of regulatory acceptance of human health and environmental QSARs. Useful diagnostic tools and data analytical approaches are highlighted and exemplified. Particular emphasis is given to the question of how to define the applicability borders of a QSAR and how to estimate parameter and prediction uncertainty. The article ends with a discussion regarding QSAR acceptability criteria. This discussion contains a list of recommended acceptability criteria, and we give reference values for important QSAR performance statistics. Finally, we emphasize that rigorous and independent validation of QSARs is an essential step toward their regulatory acceptance and implementation.
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              The role of HER2, EGFR, and other receptor tyrosine kinases in breast cancer.

              Breast cancer affects approximately 1 in 8 women, and it is estimated that over 246,660 women in the USA will be diagnosed with breast cancer in 2016. Breast cancer mortality has decline over the last two decades due to early detection and improved treatment. Over the last few years, there is mounting evidence to demonstrate the prominent role of receptor tyrosine kinases (RTKs) in tumor initiation and progression, and targeted therapies against the RTKs have been developed, evaluated in clinical trials, and approved for many cancer types, including breast cancer. However, not all breast cancers are the same as evidenced by the multiple subtypes of the disease, with some more aggressive than others, showing differential treatment response to different types of drugs. Moreover, in addition to canonical signaling from the cell surface, many RTKs can be trafficked to various subcellular compartments, e.g., the multivesicular body and nucleus, where they carry out critical cellular functions, such as cell proliferation, DNA replication and repair, and therapeutic resistance. In this review, we provide a brief summary on the role of a selected number of RTKs in breast cancer and describe some mechanisms of resistance to targeted therapies.
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                Author and article information

                Journal
                ACS Omega
                ACS Omega
                ao
                acsodf
                ACS Omega
                American Chemical Society
                2470-1343
                24 July 2020
                04 August 2020
                : 5
                : 30
                : 18662-18674
                Affiliations
                []Department of Chemistry, College of Science, Sudan University of Science and Technology , Khartoum, Sudan
                []Department of Chemistry, College of Science & Arts (Suratabidha), King Khalid University , Abha, Saudi Arabia
                Author notes
                Article
                10.1021/acsomega.0c01323
                7407542
                32775868
                77007e47-b6a1-4114-a9df-6e5c518f88cd
                Copyright © 2020 American Chemical Society

                This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.

                History
                : 25 March 2020
                : 08 July 2020
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