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Dive into the research topics where Nuttapat Anuwongcharoen is active.

Publication


Featured researches published by Nuttapat Anuwongcharoen.


International Journal of Molecular Sciences | 2016

Roles of d-Amino Acids on the Bioactivity of Host Defense Peptides

Hao Li; Nuttapat Anuwongcharoen; Aijaz Ahmad Malik; Virapong Prachayasittikul; Jarl E. S. Wikberg; Chanin Nantasenamat

Host defense peptides (HDPs) are positively-charged and amphipathic components of the innate immune system that have demonstrated great potential to become the next generation of broad spectrum therapeutic agents effective against a vast array of pathogens and tumor. As such, many approaches have been taken to improve the therapeutic efficacy of HDPs. Amongst these methods, the incorporation of d-amino acids (d-AA) is an approach that has demonstrated consistent success in improving HDPs. Although, virtually all HDP review articles briefly mentioned about the role of d-AA, however it is rather surprising that no systematic review specifically dedicated to this topic exists. Given the impact that d-AA incorporation has on HDPs, this review aims to fill that void with a systematic discussion of the impact of d-AA on HDPs.


SpringerPlus | 2015

Discovery of novel 1,2,3-triazole derivatives as anticancer agents using QSAR and in silico structural modification

Veda Prachayasittikul; Ratchanok Pingaew; Nuttapat Anuwongcharoen; Apilak Worachartcheewan; Chanin Nantasenamat; Supaluk Prachayasittikul; Somsak Ruchirawat; Virapong Prachayasittikul

AbstractConsiderable attention has been given on the search for novel anticancer drugs with respect to the disease sequelae on human health and well-being. Triazole is considered to be an attractive scaffold possessing diverse biological activities. Structural modification on the privileged structures is noted as an effective strategy towards successful design and development of novel drugs. The quantitative structure–activity relationships (QSAR) is well-known as a powerful computational tool to facilitate the discovery of potential compounds. In this study, a series of thirty-two 1,2,3-triazole derivatives (1–32) together with their experimentally measured cytotoxic activities against four cancer cell lines i.e., HuCCA-1, HepG2, A549 and MOLT-3 were used for QSAR analysis. Four QSAR models were successfully constructed with acceptable predictive performance affording RCV ranging from 0.5958 to 0.8957 and RMSECV ranging from 0.2070 to 0.4526. An additional set of 64 structurally modified triazole compounds (1A–1R, 2A–2R, 7A–7R and 8A–8R) were constructed in silico and their predicted cytotoxic activities were obtained using the constructed QSAR models. The study suggested crucial moieties and certain properties essential for potent anticancer activity and highlighted a series of promising compounds (21, 28, 32, 1P, 8G, 8N and 8Q) for further development as novel triazole-based anticancer agents.


PeerJ | 2016

Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking

Saw Simeon; Nuttapat Anuwongcharoen; Watshara Shoombuatong; Aijaz Ahmad Malik; Virapong Prachayasittikul; Jarl E. S. Wikberg; Chanin Nantasenamat

Alzheimer’s disease (AD) is a chronic neurodegenerative disease which leads to the gradual loss of neuronal cells. Several hypotheses for AD exists (e.g., cholinergic, amyloid, tau hypotheses, etc.). As per the cholinergic hypothesis, the deficiency of choline is responsible for AD; therefore, the inhibition of AChE is a lucrative therapeutic strategy for the treatment of AD. Acetylcholinesterase (AChE) is an enzyme that catalyzes the breakdown of the neurotransmitter acetylcholine that is essential for cognition and memory. A large non-redundant data set of 2,570 compounds with reported IC50 values against AChE was obtained from ChEMBL and employed in quantitative structure-activity relationship (QSAR) study so as to gain insights on their origin of bioactivity. AChE inhibitors were described by a set of 12 fingerprint descriptors and predictive models were constructed from 100 different data splits using random forest. Generated models afforded R2, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}


Journal of Cheminformatics | 2016

osFP: a web server for predicting the oligomeric states of fluorescent proteins

Saw Simeon; Watshara Shoombuatong; Nuttapat Anuwongcharoen; Likit Preeyanon; Virapong Prachayasittikul; Jarl E. S. Wikberg; Chanin Nantasenamat

{Q}_{\mathrm{CV }}^{2}


Drug Design Development and Therapy | 2015

Navigating the chemical space of dipeptidyl peptidase-4 inhibitors

Watshara Shoombuatong; Veda Prachayasittikul; Nuttapat Anuwongcharoen; Napat Songtawee; Teerawat Monnor; Supaluk Prachayasittikul; Virapong Prachayasittikul; Chanin Nantasenamat

\end{document}QCV2 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}


PeerJ | 2016

Origin of aromatase inhibitory activity via proteochemometric modeling

Saw Simeon; Ola Spjuth; Maris Lapins; Sunanta Nabu; Nuttapat Anuwongcharoen; Virapong Prachayasittikul; Jarl E. S. Wikberg; Chanin Nantasenamat

{Q}_{\mathrm{Ext}}^{2}


PeerJ | 2016

Exploring the chemical space of influenza neuraminidase inhibitors

Nuttapat Anuwongcharoen; Watshara Shoombuatong; Tanawut Tantimongcolwat; Virapong Prachayasittikul; Chanin Nantasenamat

\end{document}QExt2 values in ranges of 0.66–0.93, 0.55–0.79 and 0.56–0.81 for the training set, 10-fold cross-validated set and external set, respectively. The best model built using the substructure count was selected according to the OECD guidelines and it afforded R2, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}


Bioorganic Chemistry | 2018

Synthesis and molecular docking of N,N′-disubstituted thiourea derivatives as novel aromatase inhibitors

Ratchanok Pingaew; Veda Prachayasittikul; Nuttapat Anuwongcharoen; Supaluk Prachayasittikul; Somsak Ruchirawat; Virapong Prachayasittikul

{Q}_{\mathrm{CV }}^{2}


RSC Advances | 2018

Privileged substructures for anti-sickling activity via cheminformatic analysis

Chuleeporn Phanus-umporn; Watshara Shoombuatong; Veda Prachayasittikul; Nuttapat Anuwongcharoen; Chanin Nantasenamat

\end{document}QCV2 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}


RSC Advances | 2018

Correction: Privileged substructures for anti-sickling activity via cheminformatic analysis

Chuleeporn Phanus-umporn; Watshara Shoombuatong; Veda Prachayasittikul; Nuttapat Anuwongcharoen; Chanin Nantasenamat

{Q}_{\mathrm{Ext}}^{2}

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Somsak Ruchirawat

Srinakharinwirot University

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