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.

Conformation of Ribosomes from Escherichia Coli

1974 ◽  
Vol 32 ◽  
pp. 210-211
Author(s):  
M. Boublik ◽  
W. Hellmann ◽  
F. Jenkins
Keyword(s):  
Binding Sites ◽  
Ribosomal Proteins ◽  
Fluorescent Dyes ◽  
Protein Biosynthesis ◽  
Three Dimensional ◽  
Spatial Arrangement ◽  
Dimensional Structure ◽  
Complete Understanding ◽  
And Function

The present knowledge of the three-dimensional structure of ribosomes is far too limited to enable a complete understanding of the various roles which ribosomes play in protein biosynthesis. The spatial arrangement of proteins and ribonuclec acids in ribosomes can be analysed in many ways. Determination of binding sites for individual proteins on ribonuclec acid and locations of the mutual positions of proteins on the ribosome using labeling with fluorescent dyes, cross-linking reagents, neutron-diffraction or antibodies against ribosomal proteins seem to be most successful approaches. Structure and function of ribosomes can be correlated be depleting the complete ribosomes of some proteins to the functionally inactive core and by subsequent partial reconstitution in order to regain active ribosomal particles.

scholarly journals Relationship between sequence conservation and three-dimensional structure in a large family of esterases, lipases, and related proteins

1993 ◽  
Vol 2 (3) ◽  
pp. 366-382 ◽  
Author(s):  
Miroslaw Cygler ◽  
Joseph D. Schrag ◽  
Joel L. Sussman ◽  
Michal Harel ◽  
Israel Silman ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Large Family ◽  
Sequence Conservation ◽  
Dimensional Structure ◽  
Three Dimensional Structure ◽  
Related Proteins

Prediction of Structural and Functional Aspects of Protein

2014 ◽  
pp. 317-333
Author(s):  
Arun G. Ingale
Keyword(s):  
Protein Structure ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Protein Structures ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Sequence Information ◽  
Predict Protein Structure ◽  
Basic Ideas

To predict the structure of protein from a primary amino acid sequence is computationally difficult. An investigation of the methods and algorithms used to predict protein structure and a thorough knowledge of the function and structure of proteins are critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this chapter sheds light on the methods used for protein structure prediction. This chapter covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, it presents an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction, giving unique insight into the future applications of the modeled protein structures. In this chapter, current protein structure prediction methods are reviewed for a milieu on structure prediction, the prediction of structural fundamentals, tertiary structure prediction, and functional imminent. The basic ideas and advances of these directions are discussed in detail.

scholarly journals TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

2020 ◽  
Vol 36 (16) ◽  
pp. 4406-4414 ◽  
Author(s):  
Lifan Chen ◽  
Xiaoqin Tan ◽  
Dingyan Wang ◽  
Feisheng Zhong ◽  
Xiaohong Liu ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Three Dimensional ◽  
Prediction Performance ◽  
Dimensional Structure ◽  
Sequence Information ◽  
Biological Targets ◽  
Interaction Prediction ◽  
Protein Interaction Prediction ◽  
Improved Performance ◽  
Ligand Bias

Abstract Motivation Identifying compound–protein interaction (CPI) is a crucial task in drug discovery and chemogenomics studies, and proteins without three-dimensional structure account for a large part of potential biological targets, which requires developing methods using only protein sequence information to predict CPI. However, sequence-based CPI models may face some specific pitfalls, including using inappropriate datasets, hidden ligand bias and splitting datasets inappropriately, resulting in overestimation of their prediction performance. Results To address these issues, we here constructed new datasets specific for CPI prediction, proposed a novel transformer neural network named TransformerCPI, and introduced a more rigorous label reversal experiment to test whether a model learns true interaction features. TransformerCPI achieved much improved performance on the new experiments, and it can be deconvolved to highlight important interacting regions of protein sequences and compound atoms, which may contribute chemical biology studies with useful guidance for further ligand structural optimization. Availability and implementation https://github.com/lifanchen-simm/transformerCPI.

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 Chaperones and Proteostasis: Role in Parkinson’s Disease

Diseases ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 24 ◽  
Author(s):  
Neha Joshi ◽  
Atchaya Raveendran ◽  
Shirisha Nagotu
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Three Dimensional ◽  
Cellular Protein ◽  
The Body ◽  
Dimensional Structure ◽  
Protein Homeostasis ◽  
Altered Expression ◽  
And Function ◽  
Related Proteins

Proper folding to attain a defined three-dimensional structure is a prerequisite for the functionality of a protein. Improper folding that eventually leads to formation of protein aggregates is a hallmark of several neurodegenerative disorders. Loss of protein homeostasis triggered by cellular stress conditions is a major contributing factor for the formation of these toxic aggregates. A conserved class of proteins called chaperones and co-chaperones is implicated in maintaining the cellular protein homeostasis. Expanding the body of evidence highlights the role of chaperones as central mediators in the formation, de-aggregation and degradation of the aggregates. Altered expression and function of chaperones is associated with many neurodegenerative diseases including Parkinson’s disease. Several studies indicate that chaperones are at the center of the cause and effect cycle of this disease. An overview of the various chaperones that are associated with homeostasis of Parkinson’s disease-related proteins and their role in pathogenicity will be discussed in this review.

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.

scholarly journals Crystallization and preliminary X-ray diffraction analysis of a single variable domain of the immunoglobulin superfamily in amphioxus,Amphi-IgSF-V

2014 ◽  
Vol 70 (8) ◽  
pp. 1072-1075 ◽  
Author(s):  
Bo Jiang ◽  
Yanjie Liu ◽  
Rong Chen ◽  
Zhenbao Wang ◽  
Mansoor Tariq ◽  
...  
Keyword(s):  
Immune System ◽  
Structural Information ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Immunoglobulin Superfamily ◽  
X Ray Diffraction ◽  
X Ray ◽  
Cell Parameters ◽  
System A ◽  
Human Immunoglobulins

Amphioxus is regarded as an essential animal model for the study of immune evolution. Discovery of new molecules with the immunoglobulin superfamily (IgSF) variable (V) domain in amphioxus would help in studying the evolution of IgSF V molecules in the immune system. A protein was found which just contains only one IgSF V domain in amphioxus, termedAmphi-IgSF-V; it has over 30% sequence identity to the V domains of human immunoglobulins and mammalian T-cell receptors. In order to clarify the three-dimensional structure of this new molecule in amphioxus,Amphi-IgSF-V was expressed, purified and crystallized, and diffraction data were collected to a resolution of 1.95 Å. The crystal belonged to space groupP3221, with unit-cell parametersa=b= 53.9,c= 135.5 Å. The Matthews coefficient and solvent content were calculated to be 2.58 Å3 Da−1and 52.38%, respectively. The results will provide structural information to study the evolution of IgSF V molecules in the immune system.

scholarly journals Prediction and Analysis of Surface Hydrophobic Residues in Tertiary Structure of Proteins

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Shambhu Malleshappa Gowder ◽  
Jhinuk Chatterjee ◽  
Tanusree Chaudhuri ◽  
Kusum Paul
Keyword(s):  
Tertiary Structure ◽  
Structural Information ◽  
Solvent Accessibility ◽  
Conservation Score ◽  
Protein Structures ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Data Set ◽  
Hydrophobic Residues ◽  
Monomeric Proteins

The analysis of protein structures provides plenty of information about the factors governing the folding and stability of proteins, the preferred amino acids in the protein environment, the location of the residues in the interior/surface of a protein and so forth. In general, hydrophobic residues such as Val, Leu, Ile, Phe, and Met tend to be buried in the interior and polar side chains exposed to solvent. The present work depends on sequence as well as structural information of the protein and aims to understand nature of hydrophobic residues on the protein surfaces. It is based on the nonredundant data set of 218 monomeric proteins. Solvent accessibility of each protein was determined using NACCESS software and then obtained the homologous sequences to understand how well solvent exposed and buried hydrophobic residues are evolutionarily conserved and assigned the confidence scores to hydrophobic residues to be buried or solvent exposed based on the information obtained from conservation score and knowledge of flanking regions of hydrophobic residues. In the absence of a three-dimensional structure, the ability to predict surface accessibility of hydrophobic residues directly from the sequence is of great help in choosing the sites of chemical modification or specific mutations and in the studies of protein stability and molecular interactions.

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