BioMed Research International: Structural Biology http://www.hindawi.com The latest articles from Hindawi Publishing Corporation © 2014 , Hindawi Publishing Corporation . All rights reserved. Crystallographic Analysis of Ground and Space Thermostable T1 Lipase Crystal Obtained via Counter Diffusion Method Approach Thu, 02 Jan 2014 16:01:17 +0000 http://www.hindawi.com/journals/bmri/2014/904381/ Three-dimensional structure of thermostable lipase is much sought after nowadays as it is important for industrial application mainly found in the food, detergent, and pharmaceutical sectors. Crystallization utilizing the counter diffusion method in space was performed with the aim to obtain high resolution diffracting crystals with better internal order to improve the accuracy of the structure. Thermostable T1 lipase enzyme has been crystallized in laboratory on earth and also under microgravity condition aboard Progress spacecraft to the ISS in collaboration with JAXA (Japanese Aerospace Exploration Agency). This study is conducted with the aims of improving crystal packing and structure resolution. The diffraction data set for ground grown crystal was collected to 1.3 Å resolution and belonged to monoclinic C2 space group with unit cell parameters  Å,  Å, and  Å, whereas the diffraction data set for space grown crystal was collected to 1.1 Å resolution and belonged to monoclinic C2 space group with unit cell parameters  Å,  Å, and  Å. The major difference between the two crystal growth systems is the lack of convection and sedimentation in microgravity environment resulted in the growth of much higher quality crystals of T1 lipase. Sayangku Nor Ariati Mohamad Aris, Adam Leow Thean Chor, Mohd Shukuri Mohamad Ali, Mahiran Basri, Abu Bakar Salleh, and Raja Noor Zaliha Raja Abd. Rahman Copyright © 2014 Sayangku Nor Ariati Mohamad Aris et al. All rights reserved. Molecular Modeling of Lectin-Like Protein from Acacia farnesiana Reveals a Possible Anti-Inflammatory Mechanism in Carrageenan-Induced Inflammation Mon, 30 Dec 2013 15:53:55 +0000 http://www.hindawi.com/journals/bmri/2013/253483/ Acacia farnesiana lectin-like protein (AFAL) is a chitin-binding protein and has been classified as phytohaemagglutinin from Phaseolus vulgaris (PHA). Legume lectins are examples for structural studies, and this family of proteins shows a remarkable conservation in primary, secondary, and tertiary structures. Lectins have ability to reduce the effects of inflammation caused by phlogistic agents, such as carrageenan (CGN). This paper explains the anti-inflammatory activity of AFAL through structural comparison with anti-inflammatory legume lectins. The AFAL model was obtained by molecular modeling and molecular docking with glycan and carrageenan were performed to explain the AFAL structural behavior and biological activity. Pisum sativum lectin was the best template for molecular modeling. The AFAL structure model is folded as a β sandwich. The model differs from template in loop regions, number of β strands and carbohydrate-binding site. Carrageenan and glycan bind to different sites on AFAL. The ability of AFAL binding to carrageenan can be explained by absence of the sixth β-strand (posterior β sheets) and two β strands in frontal region. AFAL can inhibit pathway inflammatory process by carrageenan injection by connecting to it and preventing its entry into the cell and triggers the reaction. Vanessa Erika Ferreira Abrantes, Bruno Anderson Matias da Rocha, Raphael Batista da Nóbrega, José Caetano Silva-Filho, Claudener Souza Teixeira, Benildo Sousa Cavada, Carlos Alberto de Almeida Gadelha, Sergio Henrique Ferreira, Jozi Godoy Figueiredo, Tatiane Santi-Gadelha, and Plinio Delatorre Copyright © 2013 Vanessa Erika Ferreira Abrantes et al. All rights reserved. Interplay between Peptide Bond Geometrical Parameters in Nonglobular Structural Contexts Thu, 26 Dec 2013 10:48:06 +0000 http://www.hindawi.com/journals/bmri/2013/326914/ Several investigations performed in the last two decades have unveiled that geometrical parameters of protein backbone show a remarkable variability. Although these studies have provided interesting insights into one of the basic aspects of protein structure, they have been conducted on globular and water-soluble proteins. We report here a detailed analysis of backbone geometrical parameters in nonglobular proteins/peptides. We considered membrane proteins and two distinct fibrous systems (amyloid-forming and collagen-like peptides). Present data show that in these systems the local conformation plays a major role in dictating the amplitude of the bond angle N--C and the propensity of the peptide bond to adopt planar/nonplanar states. Since the trends detected here are in line with the concept of the mutual influence of local geometry and conformation previously established for globular and water-soluble proteins, our analysis demonstrates that the interplay of backbone geometrical parameters is an intrinsic and general property of protein/peptide structures that is preserved also in nonglobular contexts. For amyloid-forming peptides significant distortions of the N--C bond angle, indicative of sterical hidden strain, may occur in correspondence with side chain interdigitation. The correlation between the dihedral angles in collagen-like models may have interesting implications for triple helix stability. Luciana Esposito, Nicole Balasco, Alfonso De Simone, Rita Berisio, and Luigi Vitagliano Copyright © 2013 Luciana Esposito et al. All rights reserved. Increasing Affinity of Interferon- Receptor 1 to Interferon- by Computer-Aided Design Wed, 02 Oct 2013 11:46:41 +0000 http://www.hindawi.com/journals/bmri/2013/752514/ We describe a computer-based protocol to design protein mutations increasing binding affinity between ligand and its receptor. The method was applied to mutate interferon- receptor 1 (IFN--Rx) to increase its affinity to natural ligand IFN-, protein important for innate immunity. We analyzed all four available crystal structures of the IFN--Rx/IFN- complex to identify 40 receptor residues forming the interface with IFN-. For these 40 residues, we performed computational mutation analysis by substituting each of the interface receptor residues by the remaining standard amino acids. The corresponding changes of the free energy were calculated by a protocol consisting of FoldX and molecular dynamics calculations. Based on the computed changes of the free energy and on sequence conservation criteria obtained by the analysis of 32 receptor sequences from 19 different species, we selected 14 receptor variants predicted to increase the receptor affinity to IFN-. These variants were expressed as recombinant proteins in Escherichia coli, and their affinities to IFN- were determined experimentally by surface plasmon resonance (SPR). The SPR measurements showed that the simple computational protocol succeeded in finding two receptor variants with affinity to IFN- increased about fivefold compared to the wild-type receptor. Pavel Mikulecký, Jiří Černý, Lada Biedermannová, Hana Petroková, Milan Kuchař, Jiří Vondrášek, Petr Malý, Peter Šebo, and Bohdan Schneider Copyright © 2013 Pavel Mikulecký et al. All rights reserved. Development of Conformation Independent Computational Models for the Early Recognition of Breast Cancer Resistance Protein Substrates Thu, 01 Aug 2013 11:55:11 +0000 http://www.hindawi.com/journals/bmri/2013/863592/ ABC efflux transporters are polyspecific members of the ABC superfamily that, acting as drug and metabolite carriers, provide a biochemical barrier against drug penetration and contribute to detoxification. Their overexpression is linked to multidrug resistance issues in a diversity of diseases. Breast cancer resistance protein (BCRP) is the most expressed ABC efflux transporter throughout the intestine and the blood-brain barrier, limiting oral absorption and brain bioavailability of its substrates. Early recognition of BCRP substrates is thus essential to optimize oral drug absorption, design of novel therapeutics for central nervous system conditions, and overcome BCRP-mediated cross-resistance issues. We present the development of an ensemble of ligand-based machine learning algorithms for the early recognition of BCRP substrates, from a database of 262 substrates and nonsubstrates compiled from the literature. Such dataset was rationally partitioned into training and test sets by application of a 2-step clustering procedure. The models were developed through application of linear discriminant analysis to random subsamples of Dragon molecular descriptors. Simple data fusion and statistical comparison of partial areas under the curve of ROC curves were applied to obtain the best 2-model combination, which presented 82% and 74.5% of overall accuracy in the training and test set, respectively. Melisa Edith Gantner, Mauricio Emiliano Di Ianni, María Esperanza Ruiz, Alan Talevi, and Luis E. Bruno-Blanch Copyright © 2013 Melisa Edith Gantner et al. All rights reserved. Crystal Structure of the FAD-Containing Ferredoxin-NADP+ Reductase from the Plant Pathogen Xanthomonas axonopodis pv. citri Thu, 01 Aug 2013 10:41:43 +0000 http://www.hindawi.com/journals/bmri/2013/906572/ We have solved the structure of ferredoxin-NADP(H) reductase, FPR, from the plant pathogen Xanthomonas axonopodis pv. citri, responsible for citrus canker, at a resolution of 1.5 Å. This structure reveals differences in the mobility of specific loops when compared to other FPRs, probably unrelated to the hydride transfer process, which contributes to explaining the structural and functional divergence between the subclass I FPRs. Interactions of the C-terminus of the enzyme with the phosphoadenosine of the cofactor FAD limit its mobility, thus affecting the entrance of nicotinamide into the active site. This structure opens the possibility of rationally designing drugs against the X. axonopodis pv. citri phytopathogen. María Laura Tondo, Ramon Hurtado-Guerrero, Eduardo A. Ceccarelli, Milagros Medina, Elena G. Orellano, and Marta Martínez-Júlvez Copyright © 2013 María Laura Tondo et al. All rights reserved.