scholarly journals STUDI MOLECULAR DOCKING SENYAWA GOLONGAN FLAVONOL SEBAGAI ANTIBAKTERI

2018 ◽  
Vol 1 (2) ◽  
pp. 20-27
Author(s):  
Isna Wardaniati ◽  
Muhammad Azhari Herli

In this paper we studied the bioactive compounds of Flavonol-D-alanil D-alanin dekarboksipeptidase receptor interactions In silico. First, prepared three dimensional structure of D-alanil D-alanin dekarboksipeptidase as receptor. Preparation of fourth bioactive compounds of flavonol which will be as ligands, klokasilin and D-alanil D-alanin as a comparison. The fourth bioactive compounds of flavonol, klokasilin and D-alanil D-alanin were docked with D-alanil D-alanin dekarboksipeptidase until energy values were obtained. The fourth bioactive compounds of flavonol had lesser binding energy values than D-alanil D-alanin, Quercitrine and rutin also predicted to have greater binding energy and binding affinity than klokasilin (antibiotic) and D-alanil D-alanin (nature ligand).

Molecules ◽  
2020 ◽  
Vol 25 (24) ◽  
pp. 5885
Author(s):  
Tanzina Sharmin Nipun ◽  
Alfi Khatib ◽  
Zalikha Ibrahim ◽  
Qamar Uddin Ahmed ◽  
Irna Elina Redzwan ◽  
...  

Psychotria malayana Jack has traditionally been used to treat diabetes. Despite its potential, the scientific proof in relation to this plant is still lacking. Thus, the present study aimed to investigate the α-glucosidase inhibitors in P.malayana leaf extracts using a metabolomics approach and to elucidate the ligand–protein interactions through in silico techniques. The plant leaves were extracted with methanol and water at five various ratios (100, 75, 50, 25 and 0% v/v; water–methanol). Each extract was tested for α-glucosidase inhibition, followed by analysis using liquid chromatography tandem to mass spectrometry. The data were further subjected to multivariate data analysis by means of an orthogonal partial least square in order to correlate the chemical profile and the bioactivity. The loading plots revealed that the m/z signals correspond to the activity of α-glucosidase inhibitors, which led to the identification of three putative bioactive compounds, namely 5′-hydroxymethyl-1′-(1, 2, 3, 9-tetrahydro-pyrrolo (2, 1-b) quinazolin-1-yl)-heptan-1′-one (1), α-terpinyl-β-glucoside (2), and machaeridiol-A (3). Molecular docking of the identified inhibitors was performed using Auto Dock Vina software against the crystal structure of Saccharomyces cerevisiae isomaltase (Protein Data Bank code: 3A4A). Four hydrogen bonds were detected in the docked complex, involving several residues, namely ASP352, ARG213, ARG442, GLU277, GLN279, HIE280, and GLU411. Compound 1, 2, and 3 showed binding affinity values of −8.3, −7.6, and −10.0 kcal/mol, respectively, which indicate the good binding ability of the compounds towards the enzyme when compared to that of quercetin, a known α-glucosidase inhibitor. The three identified compounds that showed potential binding affinity towards the enzymatic protein in molecular docking interactions could be the bioactive compounds associated with the traditional use of this plant.


2017 ◽  
Vol 116 (4) ◽  
pp. 1373-1382 ◽  
Author(s):  
Paula C. Hernández ◽  
Liliana Morales ◽  
Isabel C Castellanos ◽  
Moisés Wasserman ◽  
Jacqueline Chaparro-Olaya

2017 ◽  
Vol 56 (1) ◽  
Author(s):  
Luis Rosales-León Rosales-León ◽  
Eric Edmundo Hernández-Domínguez ◽  
Samantha Gaytán-Mondragón ◽  
Rogelio Rodríguez-Sotres

In contrast to their counterparts in bacteria and animals the soluble inorganic pyrophosphatases from plant cells are active as monomers. The isoforms 1 and 4 from <em>Arabidopsis thaliana</em> have been characterized with more detail, but their three-dimensional structure is unavailable. Here, a recently published protocol (ROSETTA design-HMMer), is used to guide well-known techniques for homology-modeling, in the production of reliable models for the three-dimensional structure of these two arabidopsis isoforms. Their interaction with magnesium ions and pyrophosphate is analyzed <em>in silico</em>in silico.


Author(s):  
Khemnar Manisha Dnyandev ◽  
Galave Vishal Babasaheb ◽  
Kulkarni Vaishali Chandrashekhar ◽  
Menkudale Amruta Chandrakant ◽  
Otari Kishor Vasant

Molecular docking is computational modeling of structure complexes formed by two or more interacting molecule. The goal of molecular docking is prediction of three dimensional structure of interest. Molecular docking software mostly used in drug improvement. Molecules and effortless entrance to structural databases has befallen essential mechanism. Molecular Docking provide a collection of expensive tools for drug design and analysis. Simple prophecy of molecules and easy way in to structural databases has become essential components on the desktop of the medicinal chemist. The most important application of molecular docking is virtual screening. A variety of docking programs were residential to imagine the three dimensional structure of the molecule and docking gain can also be analyze with the assist of dissimilar computational methods. Molecular docking is a key tool in structural molecular biology and computer-assist drug design. Docking can be worn to execute virtual screening on large libraries of compounds, rank the results, and suggest structural hypotheses of how the ligands reduce the target, which is precious in lead optimization.


2013 ◽  
Vol 4 ◽  
pp. 432-443
Author(s):  
Mousumi Sahu ◽  
Budheswar Dehury ◽  
Ranjan Sarmah ◽  
Smita Sahoo ◽  
Jagajjit Sahu ◽  
...  

PeerJ ◽  
2022 ◽  
Vol 9 ◽  
pp. e12696
Author(s):  
Yunpeng Zhang ◽  
Jingwei Zhang ◽  
Chenyu Sun ◽  
Fan Wu

Background Tendon heterotopic ossification (HO) is a common condition occurring secondary to tendon injury or surgical trauma that significantly affects the patient’s quality of life. The treatment of tendon HO remains challenging due to a lack of clarity regarding the pathological mechanism. Mohawk (MKX) is a key factor in preventing tendon HO; however, its upstream regulatory mechanism remains to be understood. This study aimed to identify potential compounds that target and regulate MKX and explore their functional mechanisms. Methods Bioinformatics analysis of MKX-related compounds and proteins was performed based on data from the STITCH and OncoBinder databases. Subsequently, the SymMap database was used to study MKX-related traditional Chinese medicine drugs and symptoms. Next, the OncoBinder genomic and proteomic discovery model was applied to identify potential regulators of MKX. The analytical tool Expert Protein Analysis System for proteomics was used to predict the three-dimensional structure of MKX, and the AutoDockTools software was used to identify pockets of activity at potential sites for molecular docking. Furthermore, we evaluated the effect of different doses of 17-beta-estradiol on bone marrow-derived mesenchymal stem cells (BM-MSCs). Results By predicting the three-dimensional structure of MKX and simulating molecular docking, Pro-Tyr and 17-beta-Estradiol were found to target and bind to MKX. Analysis of the STITCH and OncoBinder databases showed that MKX had a significant regulatory correlation with suppressor interacting 3 A/histone deacetylase 1 (SIN3A/HDAC1). The GO and KEGG pathway enrichment analysis revealed that the functions of MKX and its associated proteins were mainly enriched in osteogenic-related pathways. Assessment of the proliferation of BM-MSCs revealed that 17-beta-estradiol possibly upregulated the mRNA expression of the HDAC1-SIN3A/BMP pathway-related RUNX2, thereby promoting the proliferation of BM-MSCs. Conclusions The compounds Pro-Tyr and 17-beta-Estradiol may bind to MKX and thus affect the interaction of MKX with SIN3A/HDAC1.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Christopher Llynard D. Ortiz ◽  
Gladys C. Completo ◽  
Ruel C. Nacario ◽  
Ricky B. Nellas

AbstractA strategy in the discovery of anti-tuberculosis (anti-TB) drug involves targeting the enzymes involved in the biosynthesis of Mycobacterium tuberculosis’ (Mtb) cell wall. One of these enzymes is Galactofuranosyltransferase 2 (GlfT2) that catalyzes the elongation of the galactan chain of Mtb cell wall. Studies targeting GlfT2 have so far produced compounds showing minimal inhibitory activity. With the current challenge of designing potential GlfT2 inhibitors with high inhibition activity, computational methods such as molecular docking, receptor-ligand mapping, molecular dynamics, and Three-Dimensional-Quantitative Structure-Activity Relationship (3D-QSAR) were utilized to deduce the interactions of the reported compounds with the target enzyme and enabling the design of more potent GlfT2 inhibitors. Molecular docking studies showed that the synthesized compounds have binding energy values between −3.00 to −6.00 kcal mol−1. Two compounds, #27 and #31, have registered binding energy values of −8.32 ± 0.01, and −8.08 ± 0.01 kcal mol−1, respectively. These compounds were synthesized as UDP-Galactopyranose mutase (UGM) inhibitors and could possibly inhibit GlfT2. Interestingly, the analogs of the known disaccharide substrate, compounds #1–4, have binding energy range of −10.00 to −19.00 kcal mol−1. The synthesized and newly designed compounds were subjected to 3D-QSAR to further design compounds with effective interaction within the active site. Results showed improved binding energy from −6.00 to −8.00 kcal mol−1. A significant increase on the binding affinity was observed when modifying the aglycon part instead of the sugar moiety. Furthermore, these top hit compounds were subjected to in silico ADMETox evaluation. Compounds #31, #70, #71, #72, and #73 were found to pass the ADME evaluation and throughout the screening, only compound #31 passed the predicted toxicity evaluation. This work could pave the way in the design and synthesis of GlfT2 inhibitors through computer-aided drug design and can be used as an initial approach in identifying potential novel GlfT2 inhibitors with promising activity and low toxicity.


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