scholarly journals In silico binding analysis of human CD40 ligand mimetic molecule, 3-(dimethylamino)-1-phenyl-1-propanone hydrochloride (3-DPH), with CD40 receptor molecules of various mammalian species

2021 ◽  
Vol 42 (2) ◽  
pp. 186-191
Author(s):  
S. Sivagami ◽  
◽  
R. Rathna ◽  
S. Nagavignesh ◽  
N.V. Ghone ◽  
...  

Aim: To investigate the binding of human CD40 ligand (CD40L) mimetic molecule, 3-(dimethylamino)-1-phenyl-1-propanone hydrochloride (3-DPH), with CD40 receptor (CD40R) molecules of Homo sapiens, Cavia porcellus, Cricetulus griseus, Macaca mulatta, Mus musculus, Oryctolagus cuniculus, Papio anubis and Rattus norvegicus species using bioinformatics tool. Methodology: Three-dimensional structures of CD40Rs and CD40Ls for various mammalian species were generated using the published crystal structure of human CD40 receptor-ligand complex by homology modelling using SWISS-MODEL tool. Furthermore, human CD40L mimetic molecule, 3-DPH was docked against the generated CD40R of various mammalian species using AUTODOCK 4.2. Results: Docking studies revealed that documented HIS78 and GLN79 residues of human CD40R were the key interaction residues, which interacted with human CD40L and 3-DPH. The CD40Rs of H. sapiens, C. porcellus, C. griseus, M. mulatta, M. musculus, O. cuniculus, P. anubis, and R. norvegicus bind with 3-DPH with a binding energy -4.67, -5.22, -5.19, -4.62, -4.85, -4.63, -4.51, and -4.86 kcal/mol, respectively. Interpretation: Molecular docking studies provide crucial insight into the binding affinity and interaction of 3-DPH at the active site of CD40R of the respective mammalian species. O. cuniculus and M. musculus species were found to be appropriate animal models for further evaluation of the therapeutic effect of human CD40L mimetic molecule Key words: 3-DPH, Animal model, CD40R, CD40L, Homo sapeins, Molecular docking

Author(s):  
Sowmya Suri ◽  
Rumana Waseem ◽  
Seshagiri Bandi ◽  
Sania Shaik

A 3D model of Cyclin-dependent kinase 5 (CDK5) (Accession Number: Q543f6) is generated based on crystal structure of P. falciparum PFPK5-indirubin-5-sulphonate ligand complex (PDB ID: 1V0O) at 2.30 Å resolution was used as template. Protein-ligand interaction studies were performed with flavonoids to explore structural features and binding mechanism of flavonoids as CDK5 (Cyclin-dependent kinase 5) inhibitors. The modelled structure was selected on the basis of least modeler objective function. The model was validated by PROCHECK. The predicted 3D model is reliable with 93.0% of amino acid residues in core region of the Ramachandran plot. Molecular docking studies with flavonoids viz., Diosmetin, Eriodictyol, Fortuneletin, Apigenin, Ayanin, Baicalein, Chrysoeriol and Chrysosplenol-D with modelled protein indicate that Diosmetin is the best inhibitor containing docking score of -8.23 kcal/mol. Cys83, Lys89, Asp84. The compound Diosmetin shows interactions with Cys83, Lys89, and Asp84.


2020 ◽  
Vol 17 (2) ◽  
pp. 233-247
Author(s):  
Krishna A. Gajjar ◽  
Anuradha K. Gajjar

Background: Pharmacophore mapping and molecular docking can be synergistically integrated to improve the drug design and discovery process. A rational strategy, combiphore approach, derived from the combined study of Structure and Ligand based pharmacophore has been described to identify novel GPR40 modulators. Methods: DISCOtech module from Discovery studio was used for the generation of the Structure and Ligand based pharmacophore models which gave hydrophobic aromatic, ring aromatic and negative ionizable as essential pharmacophoric features. The generated models were validated by screening active and inactive datasets, GH scoring and ROC curve analysis. The best model was exposed as a 3D query to screen the hits from databases like GLASS (GPCR-Ligand Association), GPCR SARfari and Mini-Maybridge. Various filters were applied to retrieve the hit molecules having good drug-like properties. A known protein structure of hGPR40 (pdb: 4PHU) having TAK-875 as ligand complex was used to perform the molecular docking studies; using SYBYL-X 1.2 software. Results and Conclusion: Clustering both the models gave RMSD of 0.89. Therefore, the present approach explored the maximum features by combining both ligand and structure based pharmacophore models. A common structural motif as identified in combiphore for GPR40 modulation consists of the para-substituted phenyl propionic acid scaffold. Therefore, the combiphore approach, whereby maximum structural information (from both ligand and biological protein) is explored, gives maximum insights into the plausible protein-ligand interactions and provides potential lead candidates as exemplified in this study.


Author(s):  
Jelena Bošković ◽  
Dušan Ružić ◽  
Olivera Čudina ◽  
Katarina Nikolic ◽  
Vladimir Dobričić

Background: Inflammation is common pathogenesis of many diseases progression, such as malignancy, cardiovascular and rheumatic diseases. The inhibition of the synthesis of inflammatory mediators by modulation of cyclooxygenase (COX) and lipoxygenase (LOX) pathways provides a challenging strategy for the development of more effective drugs. Objective: The aim of this study was to design dual COX-2 and 5-LOX inhibitors with iron-chelating properties using a combination of ligand-based (three-dimensional quantitative structure-activity relationship (3D-QSAR)) and structure-based (molecular docking) methods. Methods: The 3D-QSAR analysis was applied on a literature dataset consisting of 28 dual COX-2 and 5-LOX inhibitors in Pentacle software. The quality of developed COX-2 and 5-LOX 3D-QSAR models were evaluated by internal and external validation methods. The molecular docking analysis was performed in GOLD software, while selected ADMET properties were predicted in ADMET predictor software. Results: According to the molecular docking studies, the class of sulfohydroxamic acid analogues, previously designed by 3D-QSAR, was clustered as potential dual COX-2 and 5-LOX inhibitors with iron-chelating properties. Based on the 3D-QSAR and molecular docking, 1j, 1g, and 1l were selected as the most promising dual COX-2 and 5-LOX inhibitors. According to the in silico ADMET predictions, all compounds had an ADMET_Risk score less than 7 and a CYP_Risk score lower than 2.5. Designed compounds were not estimated as hERG inhibitors, and 1j had improved intrinsic solubility (8.704) in comparison to the dataset compounds (0.411-7.946). Conclusion: By combining 3D-QSAR and molecular docking, three compounds (1j, 1g, and 1l) are selected as the most promising designed dual COX-2 and 5-LOX inhibitors, for which good activity, as well as favourable ADMET properties and toxicity, are expected.


Author(s):  
SANGEETA RANI ◽  
KAVITA GAHLOT ◽  
ARVIND KUMAR

Objective: The purpose of this study was to investigate the diabetic effect of phytocompounds isolated from Cressa cretica Linn. using spectroscopic analysis and molecular docking studies. Methods: Coarse powder of the whole plant of C. cretica was extracted with methanol, extracted part was subjected to silica column isolation, and two compounds: 2-Isopropyl-4-(1-methyl-dodeca-2,4-dienyloxy)-benzene-1,3,5-triol (Compound CN-01) and 11-Methyl-dodeca-2,4,6,8,10-pentenoic acid 2,3-dihydroxy-5-methyl-phenyl ester (Compound CN-02) were isolated in pure form. The three-dimensional structure of target protein was downloaded from PDB (www.rcsb.org) Protein Data Bank, Ligand file CN – 01 and CN – 02 were converted to MDL Molfile (V2000) format using ChemSketch 2017.2.1. These files could not be used directly in AutoDock 4.0 tools; thus, they were first converted to PDB files using an open babel tool. Results: Compounds were revealed through spectroscopic analysis and screened using AutoDock 4.0 tools. Docking study recommended that CN – 01 and CN – 02 an existing phytochemical from the plant of C. cretica had the highest fitness docking score and hence could be a potent antidiabetic drug. Conclusion: In this investigation, we docked the receptor (glycogen phosphorylase protein) holds a promising lead target formation against diabetes based on molecular docking analysis (minimum hydrogen bond length and maximum docked score). Thus, these compounds can be effectively used as drugs for treating diabetes which is predicted on the basis of docking scores.


2019 ◽  
Vol 13 ◽  
pp. 117793221986553 ◽  
Author(s):  
Gbolahan O Oduselu ◽  
Olayinka O Ajani ◽  
Yvonne U Ajamma ◽  
Benedikt Brors ◽  
Ezekiel Adebiyi

Plasmodium falciparum adenylosuccinate lyase ( PfADSL) is an important enzyme in purine metabolism. Although several benzimidazole derivatives have been commercially developed into drugs, the template design as inhibitor against PfADSL has not been fully explored. This study aims to model the 3-dimensional (3D) structure of PfADSL, design and predict in silico absorption, distribution, metabolism, excretion and toxicity (ADMET) of 8 substituted benzo[ d]imidazol-1-yl)methyl)benzimidamide compounds as well as predict the potential interaction modes and binding affinities of the designed ligands with the modelled PfADSL. PfADSL 3D structure was modelled using SWISS-MODEL, whereas the compounds were designed using ChemDraw Professional. ADMET predictions were done using OSIRIS Property Explorer and Swiss ADME, whereas molecular docking was done with AutoDock Tools. All designed compounds exhibited good in silico ADMET properties, hence can be considered safe for drug development. Binding energies ranged from −6.85 to −8.75 kcal/mol. Thus, they could be further synthesised and developed into active commercial antimalarial drugs.


Biologia ◽  
2013 ◽  
Vol 68 (6) ◽  
Author(s):  
Sheik Sheik Abdul Kader ◽  
Mahalakshmi Ayyasamy ◽  
Rajnish Narayanan ◽  
Sridhar Jayavel ◽  
Gunasekaran Paramasamy

AbstractZymomonas mobilis, a Gram-negative ethanologenic non-pathogenic bacterium, is reported to exhibit resistance to high concentrations of β-lactam antibiotics. In the present study, Z. mobilis was found to be resistant to I-IV generations of cephalosporins and carbapenems, i.e. narrow, broad and extended spectrum β-lactam antibiotics. We have analysed the genome of Z. mobilis (GenBank accession No.: NC 006526) harbouring multiple genes coding for β-lactamases (BLA), β-lactamase domain containing proteins (BDP) and penicillin binding proteins (PBP). The conserved domain database analysis of BDPs predicted them to be members of metallo β-lactamase superfamily. Further, class C specific multidomain AmpC (β-lactamase C) was found in the three β-lactamases. The β-lactam resistance determinants motifs, HXHXD, KXG, SXXK, SXN, and YXN are present in the BLAs, BDPs and PBPs of Z. mobilis. The predicted theoretical pI and aliphatic index values suggested their stability. One of the PBPs, PBP2, was predicted to share functional association with rod shape determining proteins (GenBank accession Nos. YP_162095 and YP_162091). Homology modelling of three dimensional structures of the β-lactam resistance determinants and further docking studies with penicillin and other β-lactam antibiotics indicated their substrate-specificity. Semi-quantitative PCR analysis indicated that the expression of all BLAs and one BDP are induced by penicillin. Disk diffusion assay, SDS-PAGE and zymogram analysis confirms the substrate specificity of the β-lactam resistance determinants. This study gives a broader picture of the β-lactam resistance determinants of a non-pathogenic ethanologenic Z. mobilis bacterium that could have implications in laboratories since it is routinely used in many research laboratories in the world for ethanol, fructooligosaccharides, levan production and has also been reported to be present in wine and beer as a spoilage organism.


Oncology ◽  
2017 ◽  
pp. 848-875
Author(s):  
Vijay Kumar Srivastav ◽  
Vineet Singh ◽  
Meena Tiwari

Nowadays molecular docking has become an important methodology in CADD (Computer-Aided Drug Design)-assisted drug discovery process. It is an important computational tool widely used to predict binding mode, binding affinity and binding free energy of a protein-ligand complex. The important factors responsible for accurate results in docking studies are correct binding site prediction, use of suitable small-molecule databases, consistent docking pose, high dock score with good MD (Molecular Dynamics), clarity whether the compound is an inhibitor or agonist, etc. However, still there are several limitations which make it difficult to obtain accurate results from docking studies. In this chapter, the main focus is on recent advancements in various aspects of molecular docking such as ligand sampling, protein flexibility, scoring functions, fragment docking, post-processing, docking into homology models and protein-protein docking.


2019 ◽  
Vol 9 (4) ◽  
pp. 154-157
Author(s):  
Keerthana Pasam ◽  
Vaishnavi Mallojala ◽  
Shravan Kumar Gunda ◽  
Seshagiri Bandi ◽  
Mahmood Shaik

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