J
Junie B. Billones
Researcher at University of the Philippines Manila
Publications - 29
Citations - 165
Junie B. Billones is an academic researcher from University of the Philippines Manila. The author has contributed to research in topics: In silico & Virtual screening. The author has an hindex of 7, co-authored 25 publications receiving 106 citations. Previous affiliations of Junie B. Billones include University of the Philippines Diliman & Florida State University College of Arts and Sciences.
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Journal ArticleDOI
In Silico Strategies in Tuberculosis Drug Discovery.
Stephani Joy Y. Macalino,Stephani Joy Y. Macalino,Junie B. Billones,Voltaire G. Organo,Maria Constancia O. Carrillo +4 more
TL;DR: The current TB treatment, emergence of drug resistance, and the effective application of computational tools to the different stages of TB drug discovery when combined with traditional biochemical methods are discussed.
Journal ArticleDOI
Toward antituberculosis drugs: in silico screening of synthetic compounds against Mycobacterium tuberculosisl,d-transpeptidase 2.
Junie B. Billones,Maria Constancia O Carrillo,Voltaire G. Organo,Macalino Stephani Joy Y,Jamie Bernadette A Sy,Inno A Emnacen,Nina Abigail B Clavio,Gisela P. Concepcion +7 more
TL;DR: In this study, structure-based pharmacophore screening, molecular docking, and in silico toxicity evaluations were employed in screening compounds from a database of synthetic compounds, and 18 structures were identified as high-scoring, high-binding hits with very satisfactory absorption, distribution, metabolism, excretion, and toxicity properties.
Journal ArticleDOI
In silico discovery and in vitro activity of inhibitors against Mycobacterium tuberculosis 7,8-diaminopelargonic acid synthase (Mtb BioA).
Junie B. Billones,Maria Constancia O. Carrillo,Voltaire G. Organo,Jamie Bernadette A. Sy,Nina Abigail B. Clavio,Stephani Joy Y. Macalino,Inno A. Emnacen,Alexandra P Lee,Paul Kenny L. Ko,Gisela P. Concepcion +9 more
TL;DR: Computer-aided drug discovery and development approaches such as virtual screening, molecular docking, and in silico drug property calculations have been utilized in this effort to discover new lead compounds against tuberculosis, yielding 45 high-scoring, high-affinity compounds with desirable insilico absorption, distribution, metabolism, excretion, and toxicity properties.
Journal ArticleDOI
Structure-Based Design of Inhibitors Against Maltosyltransferase Glge
TL;DR: Toxicity predictions ofructure-based pharmacophore generation, virtual screening, molecular docking and de novolead optimization were employed in the search for possible inhibitors of MaltosyltransferaseGlgE enzyme, a recently validated anti-TB drug target.
Journal ArticleDOI
Virtual Screening against Mycobacterium tuberculosis Lipoate Protein Ligase B (MtbLipB) and In Silico ADMET Evaluation of Top Hits
Junie B. Billones,Maria Constancia O. Carrillo,Voltaire G. Organo,Stephanie Joy Y. Macalino,Inno A. Emnacen,Jamie Bernadette A. Sy +5 more
TL;DR: Nine compounds with superior binding energies compared to its known inhibitor (decanoic acid) have been identified and may pave the way for the development of a novel class of antituberculosis agents.