Aijaz Ahmad Malik
Mahidol University
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Publication
Featured researches published by Aijaz Ahmad Malik.
International Journal of Molecular Sciences | 2016
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.
Viruses | 2015
Surasak Jittavisutthikul; Jeeraphong Thanongsaksrikul; Kanyarat Thueng-in; Monrat Chulanetra; Potjanee Srimanote; Watee Seesuay; Aijaz Ahmad Malik; Wanpen Chaicumpa
There is a need for safe and broadly effective anti-HCV agents that can cope with genetic multiplicity and mutations of the virus. In this study, humanized-camel VHHs to genotype 3a HCV serine protease were produced and were linked molecularly to a cell penetrating peptide, penetratin (PEN). Human hepatic (Huh7) cells transfected with the JFH-1 RNA of HCV genotype 2a and treated with the cell penetrable nanobodies (transbodies) had a marked reduction of the HCV RNA intracellularly and in their culture fluids, less HCV foci inside the cells and less amounts of HCV core antigen in culture supernatants compared with the infected cells cultured in the medium alone. The PEN-VHH-treated-transfected cells also had up-regulation of the genes coding for the host innate immune response (TRIF, TRAF3, IRF3, IL-28B and IFN-β), indicating that the cell penetrable nanobodies rescued the host innate immune response from the HCV mediated-suppression. Computerized intermolecular docking revealed that the VHHs bound to residues of the protease catalytic triad, oxyanion loop and/or the NS3 N-terminal portion important for non-covalent binding of the NS4A protease cofactor protein. The so-produced transbodies have high potential for testing further as a candidate for safe, broadly effective and virus mutation tolerable anti-HCV agents.
PeerJ | 2016
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} }{}
Toxins | 2016
Aijaz Ahmad Malik; Chompounoot Imtong; Nitat Sookrung; Gerd Katzenmeier; Wanpen Chaicumpa; Chanan Angsuthanasombat
{Q}_{\mathrm{CV }}^{2}
Biochemical and Biophysical Research Communications | 2016
Kittirat Glab-ampai; Aijaz Ahmad Malik; Monrat Chulanetra; Jeeraphong Thanongsaksrikul; Kanyarat Thueng-in; Potjanee Srimanote; Pongsri Tongtawe; Wanpen Chaicumpa
\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} }{}
Expert Opinion on Drug Discovery | 2017
Veda Prachayasittikul; Philip Prathipati; Reny Pratiwi; Chuleeporn Phanus-umporn; Aijaz Ahmad Malik; Nalini Schaduangrat; Kanokwan Seenprachawong; Prapimpun Wongchitrat; Aungkura Supokawej; Virapong Prachayasittikul; Jarl E. S. Wikberg; Chanin Nantasenamat
{Q}_{\mathrm{Ext}}^{2}
Scientific Reports | 2017
Kittirat Glab-ampai; Monrat Chulanetra; Aijaz Ahmad Malik; Thanate Juntadech; Jeeraphong Thanongsaksrikul; Potjanee Srimanote; Kanyarat Thueng-in; Nitat Sookrung; Pongsri Tongtawe; Wanpen Chaicumpa
\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} }{}
Materials Science and Engineering: C | 2017
Aijaz Ahmad Malik; Chanin Nantasenamat; Theeraphon Piacham
{Q}_{\mathrm{CV }}^{2}
Journal of Chemistry | 2017
Reny Pratiwi; Aijaz Ahmad Malik; Nalini Schaduangrat; Virapong Prachayasittikul; Jarl E. S. Wikberg; Chanin Nantasenamat; Watshara Shoombuatong
\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} }{}
Applied Biochemistry and Biotechnology | 2018
Roqia Ashraf; Hasham S. Sofi; Aijaz Ahmad Malik; Mushtaq A. Beigh; Rabia Hamid; Faheem A. Sheikh
{Q}_{\mathrm{Ext}}^{2}