scholarly journals HOMOLOGY MODELING OF SUBCUTANEOUS FILARIASIS DHFR PROTEINS

2017 ◽  
Vol 9 (6) ◽  
pp. 76
Author(s):  
Kavita Chandramore
Keyword(s):  
Homology Modeling ◽  
Protein Function ◽  
Structural Model ◽  
Query Sequence ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Parasitic Disease ◽  
Loa Loa ◽  
Knowledge Based ◽  
Template Sequence

Objective: A systematic technique for protein modeling offers great assistance in the study of protein function, dynamics, interactions with ligands, other proteins and even in drug discovery and drug design. Subcutaneous filariasis is rare parasitic disease caused by Loa Loa (eye worm) and monosonallastreptoscerca species. Methods: The present study develop three dimensional structure of dihydrofolatereductase present in Loa loa species. For this purpose knowledge based homology modeling is used by using Schrodinger Glide 5.6 software.Results: The procedure involves alignment that maps residues in the query sequence to residues in the template sequence to generate structural model of target, which was further refined and final result validated by using Ramchandran plot.Conclusion: In ramchandran plot majority of the amino acids are in the phi-psi distribution and thedevelop model is reliable and of good quality.

scholarly journals Covering complete proteomes with X-ray structures: a current snapshot

2014 ◽  
Vol 70 (11) ◽  
pp. 2781-2793 ◽  
Author(s):  
Marcin J. Mizianty ◽  
Xiao Fan ◽  
Jing Yan ◽  
Eric Chalmers ◽  
Christopher Woloschuk ◽  
...  
Keyword(s):  
Homology Modeling ◽  
Structure Determination ◽  
Large Scale ◽  
Structural Model ◽  
Target Selection ◽  
Three Dimensional ◽  
X Ray ◽  
X Ray Crystallography ◽  
Knowledge Based ◽  
Wide Range

Structural genomics programs have developed and applied structure-determination pipelines to a wide range of protein targets, facilitating the visualization of macromolecular interactions and the understanding of their molecular and biochemical functions. The fundamental question of whether three-dimensional structures of all proteins and all functional annotations can be determined using X-ray crystallography is investigated. A first-of-its-kind large-scale analysis of crystallization propensity for all proteins encoded in 1953 fully sequenced genomes was performed. It is shown that current X-ray crystallographic knowhow combined with homology modeling can provide structures for 25% of modeling families (protein clusters for which structural models can be obtained through homology modeling), with at least one structural model produced for each Gene Ontology functional annotation. The coverage varies between superkingdoms, with 19% for eukaryotes, 35% for bacteria and 49% for archaea, and with those of viruses following the coverage values of their hosts. It is shown that the crystallization propensities of proteomes from the taxonomic superkingdoms are distinct. The use of knowledge-based target selection is shown to substantially increase the ability to produce X-ray structures. It is demonstrated that the human proteome has one of the highest attainable coverage values among eukaryotes, and GPCR membrane proteins suitable for X-ray structure determination were determined.

The Integrative Establishment of a Three-Dimensional Structure Model of Changling Gas Field in Changling Fault Depression

2014 ◽  
Vol 556-562 ◽  
pp. 3779-3782
Author(s):  
Xiao Yu Yu ◽  
Xue Li ◽  
Xiao Song Li ◽  
Guo Yi Zhang
Keyword(s):  
Structural Model ◽  
High Reliability ◽  
Three Dimensional ◽  
Physical Property ◽  
Modeling Technique ◽  
Dimensional Structure ◽  
Gas Field ◽  
3D Geological Modeling ◽  
Micro Features ◽  
Reservoir Description

The three-dimensional (3D) geological modeling technique which is considered as an important skill of fine reservoir description has been gaining more and more attention. On one hand, it can efficiently promote the transformation of reservoir description from two-dimensional (2D) to 3D, and from qualification to quantification as well. The 3D reservoir geological model can be used as basic geological knowledge in terms of adjusting well patterns and indicating remaining oil distribution, through reflecting the spatial distribution characteristics and the variation of the reservoir physical property. On the other hand, the 3D modeling technique specializes in the representation of local micro features in comparison of regular ways. This article aims at subtly describing the structural modeling of Changling gas field of Changling fault depression. The result of this case study shows that the establishment of structural model is consistent with the understanding of fault development which was proved during the process of producing gas, thus the structural model has high reliability. Therefore, the structural model is of great guiding significance for the design of new well and the well patter optimization.

scholarly journals SphereCon—a method for precise estimation of residue relative solvent accessible area from limited structural information

2020 ◽  
Vol 36 (11) ◽  
pp. 3372-3378
Author(s):  
Alexander Gress ◽  
Olga V Kalinina
Keyword(s):  
Protein Function ◽  
Structural Information ◽  
Solvent Accessibility ◽  
Three Dimensional ◽  
Structural Data ◽  
Supplementary Information ◽  
Dimensional Structure ◽  
Relative Solvent Accessibility ◽  
Precise Measure ◽  
The Impact

Abstract Motivation In proteins, solvent accessibility of individual residues is a factor contributing to their importance for protein function and stability. Hence one might wish to calculate solvent accessibility in order to predict the impact of mutations, their pathogenicity and for other biomedical applications. A direct computation of solvent accessibility is only possible if all atoms of a protein three-dimensional structure are reliably resolved. Results We present SphereCon, a new precise measure that can estimate residue relative solvent accessibility (RSA) from limited data. The measure is based on calculating the volume of intersection of a sphere with a cone cut out in the direction opposite of the residue with surrounding atoms. We propose a method for estimating the position and volume of residue atoms in cases when they are not known from the structure, or when the structural data are unreliable or missing. We show that in cases of reliable input structures, SphereCon correlates almost perfectly with the directly computed RSA, and outperforms other previously suggested indirect methods. Moreover, SphereCon is the only measure that yields accurate results when the identities of amino acids are unknown. A significant novel feature of SphereCon is that it can estimate RSA from inter-residue distance and contact matrices, without any information about the actual atom coordinates. Availability and implementation https://github.com/kalininalab/spherecon. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.

Three-dimensional structure of β-momorcharin at 2.55 Å resolution

1999 ◽  
Vol 55 (6) ◽  
pp. 1144-1151 ◽  
Author(s):  
Yu-Ren Yuan ◽  
Yong-Ning He ◽  
Jian-Ping Xiong ◽  
Zong-Xiang Xia
Keyword(s):  
Active Site ◽  
Structural Model ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Molecular Replacement ◽  
Ribosome Inactivating Protein ◽  
Three Dimensional Structure ◽  
Replacement Method ◽  
Enzymatic Function ◽  
Molecular Replacement Method

β-Momorcharin (Mr ≃ 29 kDa) is a single-chained ribosome-inactivating protein (RIP) with a branched hexasaccharide bound to Asn51. The crystal structure of β-momorcharin has been determined using the molecular-replacement method and refined to 2.55 Å resolution. The final structural model gave an R factor of 17.2% and root-mean-square deviations of 0.016 Å and 1.76° from ideal bond lengths and bond angles, respectively. β-Momorcharin contains nine α-helices, two 310 helices and three β-sheets, and its overall structure is similar to those of other single-chained RIPs. Residues Tyr70, Tyr109, Glu158 and Arg161 are expected to define the active site of β-momorcharin as an rRNA N-glycosidase. The oligosaccharide is linked to the protein through an N-glycosidic bond, β-GlcNAc–(1-N)-Asn51, and stretches from the surface of the N-terminal domain far from the active site, which suggests that it should not play a role in enzymatic function. The oligosaccharide of each β-momorcharin molecule interacts with the protein through hydrogen bonds, although in the crystals most of these are intermolecular interactions with the protein atoms in an adjacent unit cell. This is the first example of an RIP structure which provides information about the three-dimensional structure and binding site of the oligosaccharide in the active chains of RIPs.

scholarly journals Structural Model for 12-Helix Transporters Belonging to the Major Facilitator Superfamily

2003 ◽  
Vol 185 (5) ◽  
pp. 1712-1718 ◽  
Author(s):  
Teruhisa Hirai ◽  
Jürgen A. W. Heymann ◽  
Peter C. Maloney ◽  
Sriram Subramaniam
Keyword(s):  
Structural Model ◽  
Structural Information ◽  
Three Dimensional ◽  
Spatial Arrangement ◽  
Bound State ◽  
Major Facilitator Superfamily ◽  
Dimensional Structure ◽  
Sequence Information ◽  
Major Facilitator ◽  
Related Proteins

ABSTRACT The major facilitator superfamily includes a large collection of evolutionarily related proteins that have been implicated in the transport of a variety of solutes and metabolites across the membranes of organisms ranging from bacteria to humans. We have recently reported the three-dimensional structure, at 6.5 Å resolution, of the oxalate transporter, OxlT, a representative member of this superfamily. In the oxalate-bound state, 12 helices surround a central cavity to form a remarkably symmetrical structure that displays a well-defined pseudo twofold axis perpendicular to the plane of the membrane as well as two less pronounced, mutually perpendicular pseudo twofold axes in the plane of the membrane. Here, we combined this structural information with sequence information from other members of this protein family to arrive at models for the arrangement of helices in this superfamily of transport proteins. Our analysis narrows down the number of helix arrangements from about a billion starting possibilities to a single probable model for the relative spatial arrangement for the 12 helices, consistent both with our structural findings and with the majority of previous biochemical studies on members of this superfamily.

Type I interferon structures: Possible scaffolds for the interferon-alpha receptor complex

2002 ◽  
Vol 80 (8) ◽  
pp. 1166-1173 ◽  
Author(s):  
Tattanahalli L Nagabhushan ◽  
Paul Reichert ◽  
Mark R Walter ◽  
Nicholas J Murgolo
Keyword(s):  
Structural Model ◽  
Structural Information ◽  
Three Dimensional ◽  
Cell Receptor ◽  
Type I Interferons ◽  
Dimensional Structure ◽  
Type I ◽  
Receptor Complex ◽  
X Ray Crystallography ◽  
Receptor Complexes

The structures of several type I interferons (IFNs) are known. We review the structural information known for IFN alphas and compare them to other interferons and cytokines. We also review the structural information known or proposed for IFN–cell receptor complexes. However, the structure of the IFN – cell receptor – IFN receptor2 (IFNAR2) and IFN receptor1 (IFNAR1) complex has not yet been determined. This paper describes a structural model of human IFN-IFNAR2/IFNAR1 complex using human IFN-α2b dimer as the ligand. Both the structures of recombinant human IFN-α2b and IFN-β were determined by X-ray crystallography as zinc-mediated dimers. Our proposed model was generated using human IFN-α2b dimer docked with IFNAR2/IFNAR1. We compare our model with the receptor complex models proposed for IFN-β and IFN-γ to contrast similarities and differences. The mutual binding sites of human IFN-α2b and IFNAR2/IFNAR1 complex are consistent with available mutagenesis studies.Key words: three dimensional structure, antiviral activity, receptor, interferon.

scholarly journals Prediction of fluorophore brightness in designed mini fluorescence activating proteins

2021 ◽  
Author(s):  
Emma R. Hostetter ◽  
Jeffrey R. Keyes ◽  
Ivy Poon ◽  
Justin P. Nguyen ◽  
Jacob Nite ◽  
...  
Keyword(s):  
Protein Function ◽  
De Novo ◽  
Energy Landscape ◽  
Three Dimensional ◽  
Computational Design ◽  
Dimensional Structure ◽  
Bond Rotation ◽  
Beta Barrel ◽  
Angle Rotation ◽  
Dynamics Simulations

The de novo computational design of proteins with predefined three-dimensional structure is becoming much more routine due to advancements both in force fields and algorithms. However, creating designs with functions beyond folding is more challenging. In that regard, the recent design of small beta barrel proteins that activate the fluorescence of an exogenous small molecule chromophore (DFHBI) is noteworthy. These proteins, termed mini Fluorescence Activating Proteins (mFAPs), have been shown increase the brightness of the chromophore more than 100-fold upon binding to the designed ligand pocket. The design process created a large library of variants with different brightness levels but gave no rational explanation for why one variant was brighter than another. Here we use quantum mechanics and molecular dynamics simulations to investigate how molecular flexibility in the ground and excited states influences brightness. We show that the ability of the protein to resist dihedral angle rotation of the chromophore is critical for predicting brightness. Our simulations suggest that the mFAP/DFHBI complex has a rough energy landscape, requiring extensive ground-state sampling to achieve converged predictions of excited-state kinetics. While computationally demanding, this roughness suggests that mFAP protein function can be enhanced by reshaping the energy landscape towards states that better resist DFHBI bond rotation.

scholarly journals Homology Modeling-Based in Silico Affinity Maturation Improves the Affinity of a Nanobody

2019 ◽  
Vol 20 (17) ◽  
pp. 4187 ◽  
Author(s):  
Xin Cheng ◽  
Jiewen Wang ◽  
Guangbo Kang ◽  
Min Hu ◽  
Bo Yuan ◽  
...  
Keyword(s):  
Homology Modeling ◽  
Rational Design ◽  
Structural Model ◽  
Three Dimensional ◽  
Phage Display Library ◽  
Affinity Maturation ◽  
New Strategy ◽  
Design Protocol ◽  
High Binding Affinity

Affinity maturation and rational design have a raised importance in the application of nanobody (VHH), and its unique structure guaranteed these processes quickly done in vitro. An anti-CD47 nanobody, Nb02, was screened via a synthetic phage display library with 278 nM of KD value. In this study, a new strategy based on homology modeling and Rational Mutation Hotspots Design Protocol (RMHDP) was presented for building a fast and efficient platform for nanobody affinity maturation. A three-dimensional analytical structural model of Nb02 was constructed and then docked with the antigen, the CD47 extracellular domain (CD47ext). Mutants with high binding affinity are predicted by the scoring of nanobody-antigen complexes based on molecular dynamics trajectories and simulation. Ultimately, an improved mutant with an 87.4-fold affinity (3.2 nM) and 7.36 °C higher thermal stability was obtained. These findings might contribute to computational affinity maturation of nanobodies via homology modeling using the recent advancements in computational power. The add-in of aromatic residues which formed aromatic-aromatic interaction plays a pivotal role in affinity and thermostability improvement. In a word, the methods used in this study might provide a reference for rapid and efficient in vitro affinity maturation of nanobodies.

scholarly journals Analysis of the Thermostability Determinants of Hyperthermophilic Esterase EstE1 Based on Its Predicted Three-Dimensional Structure

2006 ◽  
Vol 72 (4) ◽  
pp. 3021-3025 ◽  
Author(s):  
Jin-Kyu Rhee ◽  
Do-Yun Kim ◽  
Dae-Gyun Ahn ◽  
Jung-Hyuk Yun ◽  
Seung-Hwan Jang ◽  
...  
Keyword(s):  
Homology Modeling ◽  
Hydrophobic Interactions ◽  
3D Structure ◽  
Three Dimensional ◽  
Ion Pair ◽  
Archaeoglobus Fulgidus ◽  
Dimensional Structure ◽  
Three Dimensional Structure ◽  
Structure Relationship

ABSTRACT The three-dimensional (3D) structure of the hyperthermophilic esterase EstE1 was constructed by homology modeling using Archaeoglobus fulgidus esterase as a reference, and the thermostability-structure relationship was analyzed. Our results verified the predicted 3D structure of EstE1 and identified the ion pair networks and hydrophobic interactions that are critical determinants for the thermostability of EstE1.

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