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      In silico Prediction of Skin Sensitization: Quo vadis?

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          Abstract

          Skin direct contact with chemical or physical substances is predisposed to allergic contact dermatitis (ACD), producing various allergic reactions, namely rash, blister, or itchy, in the contacted skin area. ACD can be triggered by various extremely complicated adverse outcome pathways (AOPs) remains to be causal for biosafety warrant. As such, commercial products such as ointments or cosmetics can fulfill the topically safe requirements in animal and non-animal models including allergy. Europe, nevertheless, has banned animal tests for the safety evaluations of cosmetic ingredients since 2013, followed by other countries. A variety of non-animal in vitro tests addressing different key events of the AOP, the direct peptide reactivity assay (DPRA), KeratinoSens™, LuSens and human cell line activation test h-CLAT and U-SENS™ have been developed and were adopted in OECD test guideline to identify the skin sensitizers. Other methods, such as the SENS-IS are not yet fully validated and regulatorily accepted. A broad spectrum of in silico models, alternatively, to predict skin sensitization have emerged based on various animal and non-animal data using assorted modeling schemes. In this article, we extensively summarize a number of skin sensitization predictive models that can be used in the biopharmaceutics and cosmeceuticals industries as well as their future perspectives, and the underlined challenges are also discussed.

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          A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm

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            QSAR modeling: where have you been? Where are you going to?

            Quantitative structure-activity relationship modeling is one of the major computational tools employed in medicinal chemistry. However, throughout its entire history it has drawn both praise and criticism concerning its reliability, limitations, successes, and failures. In this paper, we discuss (i) the development and evolution of QSAR; (ii) the current trends, unsolved problems, and pressing challenges; and (iii) several novel and emerging applications of QSAR modeling. Throughout this discussion, we provide guidelines for QSAR development, validation, and application, which are summarized in best practices for building rigorously validated and externally predictive QSAR models. We hope that this Perspective will help communications between computational and experimental chemists toward collaborative development and use of QSAR models. We also believe that the guidelines presented here will help journal editors and reviewers apply more stringent scientific standards to manuscripts reporting new QSAR studies, as well as encourage the use of high quality, validated QSARs for regulatory decision making.
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              Transdermal Drug Delivery: Innovative Pharmaceutical Developments Based on Disruption of the Barrier Properties of the stratum corneum

              The skin offers an accessible and convenient site for the administration of medications. To this end, the field of transdermal drug delivery, aimed at developing safe and efficacious means of delivering medications across the skin, has in the past and continues to garner much time and investment with the continuous advancement of new and innovative approaches. This review details the progress and current status of the transdermal drug delivery field and describes numerous pharmaceutical developments which have been employed to overcome limitations associated with skin delivery systems. Advantages and disadvantages of the various approaches are detailed, commercially marketed products are highlighted and particular attention is paid to the emerging field of microneedle technologies.
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                Author and article information

                Contributors
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                04 May 2021
                2021
                : 12
                : 655771
                Affiliations
                [ 1 ]Department of Chemistry, National Dong Hwa University, Shoufeng, Taiwan
                [ 2 ]Department of Basic Medical Science, Institute of Respiratory Disease, Xiamen Medical College, Xiamen, China
                Author notes
                *Correspondence: Ching-Feng Weng, cfweng-cfweng@ 123456hotmail.com ; Max K. Leong, leong@ 123456gms.ndhu.edu.tw

                This article was submitted to Predictive Toxicology, a section of the journal Frontiers in Pharmacology

                Edited by: Fatma Mohamady El-Demerdash, Alexandria University, Egypt

                Reviewed by: Emilio Benfenati, Istituto di Ricerche Farmacologiche Mario Negri (IRCCS), Italy

                Robert Landsiedel, BASF, Germany

                Article
                655771
                10.3389/fphar.2021.655771
                8129647
                34017255
                6c88a006-f167-46e9-849e-a910eb2eec8a
                Copyright © 2021 Ta, Weng and Leong.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 19 January 2021
                : 20 April 2021
                Funding
                Funded by: Ministry of Science and Technology, Taiwan 10.13039/501100004663
                Categories
                Pharmacology
                Review

                Pharmacology & Pharmaceutical medicine
                skin sensitization,in silico models,human test methods,non-animal test methods,animal test methods,in chemico test methods

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