scholarly journals Ligand Docking of Propafenones into a Homology Model of ABCB1

2009 ◽  
Vol 77 (1) ◽  
pp. 204-204
Author(s):  
Klepsch
Author(s):  
Clyde F. Phelix ◽  
Allen K Bourdon ◽  
Jason L Dugan ◽  
Greg Villareal ◽  
George Perry

The mitochondrial pyruvate carrier (MPC) is a novel target for therapeutic drugs to treat Alzheimer's and Parkinson's disease, diabetes mellitus, and non-alcoholic steatohepatitis (NASH). Metabolic Solutions Development Company (MSDC) has two thiazolidinediones, MSDC-0160 and MSDC-0602, in the pipeline. This report describes results for a MPC1/2 heterodimer homology model. The FASTA sequences for MPC1 and MPC2 were accessed from UniProt and submitted to RaptorX, resulting in best candidate monomeric “protein data base” files for each. One mutant form of MPC1, L36I, was also processed. These were submitted to PyDock to generate best candidate MPC1/2 heterodimer models that were used for ligand docking analyses with AutoDock Vina and “Rosetta Online Server that Includes Everyone” (ROSIE). Multiple binding sites for pyruvate and both drugs were found on both MPC1 and MPC2 subunits with drugs having nearly double the affinity in each case except the intermediate and open-in states for the L36I mutant transporter.


2011 ◽  
Vol 10 (02) ◽  
pp. 165-177 ◽  
Author(s):  
WEIWEI HAN ◽  
YE WANG ◽  
QUAN LUO ◽  
YAN FENG ◽  
XIAODI NIU

Arylesterases (E.C. 3.1.1.2) play an important role in nature, which show high enantioselectivity toward chemically and pharmaceutically important compound in addition to being environmentally friendly. The docking results indicate that Tyr34, Leu98, Ile64, Met36, and Ile38 have important contributions to the substrate binding and the side chains of these residues can provide a rather vdW interaction with the substrate. The molecular dynamics calculation of the free energy by MM-PBSA method implies that the S31A and S31G mutant enzymes show more stability as compared with the wild type, which is in harmony with the kinetic experiment that the 2-fold and 2.5-fold increase in the Km for S31A and S31G enzymes. From these results, we can conjecture that mutations of Ser31 make the active site more spacious than that of arylerases', and it can lead to the enzyme active. The new structural insights obtained from this computational study are expected to stimulate further biochemical studies on the structures and mechanisms of other members of the SGNH-hydrolases.


Molecules ◽  
2020 ◽  
Vol 25 (15) ◽  
pp. 3431
Author(s):  
Waldo Acevedo ◽  
Pablo Cañón ◽  
Felipe Gómez-Alvear ◽  
Jaime Huerta ◽  
Daniel Aguayo ◽  
...  

Malolactic fermentation (MLF) is responsible for the decarboxylation of l-malic into lactic acid in most red wines and some white wines. It reduces the acidity of wine, improves flavor complexity and microbiological stability. Despite its industrial interest, the MLF mechanism is not fully understood. The objective of this study was to provide new insights into the role of pH on the binding of malic acid to the malolactic enzyme (MLE) of Oenococcus oeni. To this end, sequence similarity networks and phylogenetic analysis were used to generate an MLE homology model, which was further refined by molecular dynamics simulations. The resulting model, together with quantum polarized ligand docking (QPLD), was used to describe the MLE binding pocket and pose of l-malic acid (MAL) and its l-malate (−1) and (−2) protonation states (MAL− and MAL2−, respectively). MAL2− has the lowest ∆Gbinding, followed by MAL− and MAL, with values of −23.8, −19.6, and −14.6 kJ/mol, respectively, consistent with those obtained by isothermal calorimetry thermodynamic (ITC) assays. Furthermore, molecular dynamics and MM/GBSA results suggest that only MAL2− displays an extended open conformation at the binding pocket, satisfying the geometrical requirements for Mn2+ coordination, a critical component of MLE activity. These results are consistent with the intracellular pH conditions of O. oeni cells—ranging from pH 5.8 to 6.1—where the enzymatic decarboxylation of malate occurs.


2007 ◽  
Vol 21 (8) ◽  
pp. 437-453 ◽  
Author(s):  
Birgit Schlegel ◽  
Christian Laggner ◽  
Rene Meier ◽  
Thierry Langer ◽  
David Schnell ◽  
...  

Author(s):  
Clyde F. Phelix ◽  
Allen K. Bourdon ◽  
Jason L Dugan ◽  
Greg Villareal ◽  
George Perry

The mitochondrial pyruvate carrier (MPC) is a novel target for therapeutic drugs to treat Alzheimer's and Parkinson's disease, diabetes mellitus, and non-alcoholic steatohepatitis (NASH). Metabolic Solutions Development Company (MSDC) has two thiazolidinediones, MSDC-0160 and MSDC-0602, in the pipeline. This report describes results for a MPC1/2 heterodimer homology model. The FASTA sequences for MPC1 and MPC2 were accessed from UniProt and submitted to RaptorX, resulting in best candidate monomeric “protein data base” files for each. One mutant form of MPC1, L36I, was also processed. These were submitted to PyDock to generate best candidate MPC1/2 heterodimer models that were used for ligand docking analyses with AutoDock Vina and “Rosetta Online Server that Includes Everyone” (ROSIE). Multiple binding sites for pyruvate and both drugs were found on both MPC1 and MPC2 subunits with drugs having nearly double the affinity in each case except the intermediate and open-in states for the L36I mutant transporter.


2008 ◽  
Vol 389 (9) ◽  
Author(s):  
M. Kamran Azim ◽  
Nediljko Budisa

Abstract Non-canonical amino acids (NAA), as building blocks for peptides and proteins during ribosomal translation, represent a nearly infinite supply of novel functions. The specific selection, activation and tRNA-charging of amino acids by aminoacyl-tRNA synthetases (AARS) in the aminoacylation reaction are essential steps. In most cases, aminoacylation of NAA is a good indication that the related amino acid will participate in ribosomal translation as well. However, testing the translational capacity of amino acid analogs has technical limitations. Therefore, a rapid and reliable in silico test for NAA recognition by AARS would be advantageous in experimental design. We chose tryptophanyl-tRNA synthetase from Escherichia coli as a model system for docking studies with various tryptophan analogs using the FlexX-Pharm strategy. We were able to calculate relative binding energies for Trp analogs in TrpRS that correlate well with their translational activities in E. coli. In particular, FlexX-Pharm predicted the binding sites of fluoro-, amino-, hydroxyl- and aza-containing Trp analogs within 1.5 Å of Trp in the homology model of E. coli TrpRS. Therefore, the use of ligand docking prior to NAA incorporation experiments might provide a straightforward means for determining NAA that can be efficiently incorporated into a protein.


2020 ◽  
Author(s):  
Kin Meng Wong ◽  
Shirley Siu

Protein-ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein in current structure-based drug design. In this paper, we evaluate the performance of grey wolf optimization (GWO) in protein-ligand docking. Two versions of the GWO docking program – the original GWO and the modified one with random walk – were implemented based on AutoDock Vina. Our rigid docking experiments show that the GWO programs have enhanced exploration capability leading to significant speedup in the search while maintaining comparable binding pose prediction accuracy to AutoDock Vina. For flexible receptor docking, the GWO methods are competitive in pose ranking but lower in success rates than AutoDockFR. Successful redocking of all the flexible cases to their holo structures reveals that inaccurate scoring function and lack of proper treatment of backbone are the major causes of docking failures.


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