• Title/Summary/Keyword: protein structure

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Construction of Large Library of Protein Fragments Using Inter Alpha-carbon Distance and Binet-Cauchy Distance (내부 알파탄소간 거리와 비네-코시 거리를 사용한 대규모 단백질 조각 라이브러리 구성)

  • Chi, Sang-mun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.3011-3016
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    • 2015
  • Representing protein three-dimensional structure by concatenating a sequence of protein fragments gives an efficient application in analysis, modeling, search, and prediction of protein structures. This paper investigated the effective combination of distance measures, which can exploit large protein structure database, in order to construct a protein fragment library representing native protein structures accurately. Clustering method was used to construct a protein fragment library. Initial clustering stage used inter alpha-carbon distance having low time complexity, and cluster extension stage used the combination of inter alpha-carbon distance, Binet-Cauchy distance, and root mean square deviation. Protein fragment library was constructed by leveraging large protein structure database using the proposed combination of distance measures. This library gives low root mean square deviation in the experiments representing protein structures with protein fragments.

Bioinformatic approaches for the structure and function of membrane proteins

  • Nam, Hyun-Jun;Jeon, Jou-Hyun;Kim, Sang-Uk
    • BMB Reports
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    • v.42 no.11
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    • pp.697-704
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    • 2009
  • Membrane proteins play important roles in the biology of the cell, including intercellular communication and molecular transport. Their well-established importance notwithstanding, the high-resolution structures of membrane proteins remain elusive due to difficulties in protein expression, purification and crystallization. Thus, accurate prediction of membrane protein topology can increase the understanding of membrane protein function. Here, we provide a brief review of the diverse computational methods for predicting membrane protein structure and function, including recent progress and essential bioinformatics tools. Our hope is that this review will be instructive to users studying membrane protein biology in their choice of appropriate bioinformatics methods.

3D Structure of STAM1 UIM-ubiquitin Complex Using RosettaDock

  • Lim, Jong-Soo;Yi, Jong-Jae;Ahn, Hee-Chul;Rhee, Jin-Kyu;Son, Woo-Sung
    • Journal of the Korean Magnetic Resonance Society
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    • v.15 no.1
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    • pp.80-89
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    • 2011
  • 3D structures of STAM1 UIM-ubiquitin complex were presented to predict and analyze the interaction between UIM and ubiquitin. To generate the protein-peptide complex structure, the RosettaDock method was used with and without NMR restraints. High resolution complex structure was acquired successfully and evaluated electrostatic interaction in the protein-peptide binding with several charged residues at the binding site. From docking results, the Rosettadock method could be useful to acquire essential information of protein-protein or protein-peptide interaction with minimal biological evidences.

SOLUTION STRUCTURE AND INTERACTION ON THE CARBOXYL- TERMINAL DOMAIN OF ESCHERICHIA COLI RNA POLYMERASE $\alpha$ SUBUNIT STUDIED BY NMR

  • Jeon, Young-Ho;Tomofumi Negishi;Masahiro Shirakawa;Toshio Yamazaki;Nobuyuki Fujita;Akira Ishihama;Yoshimasa Kyogoku
    • Proceedings of the Korean Biophysical Society Conference
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    • 1996.07a
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    • pp.11-11
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    • 1996
  • The three-dimensional structure of the carboxyl-terminal domain of the E.coli RNA polymerase $\alpha$ subunit, which is regarded as the contact site for transcription activator proteins and the promoter UP element, was determined by NMR spectroscopy. Its compact structure of four helices and two long arms enclosing its hydrophobic core shows a folding topology distinct from those of other DNA-binding proteins. (omitted)

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Genome Scale Protein Secondary Structure Prediction Using a Data Distribution on a Grid Computing

  • Cho, Min-Kyu;Lee, Soojin;Jung, Jin-Won;Kim, Jai-Hoon;Lee, Weontae
    • Proceedings of the Korean Biophysical Society Conference
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    • 2003.06a
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    • pp.65-65
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    • 2003
  • After many genome projects, algorithms and software to process explosively growing biological information have been developed. To process huge amount of biological information, high performance computing equipments are essential. If we use the remote resources such as computing power, storages etc., through a Grid to share the resources in the Internet environment, we will be able to obtain great efficiency to process data at a low cost. Here we present the performance improvement of the protein secondary structure prediction (PSIPred) by using the Grid platform, distributing protein sequence data on the Grid where each computer node analyzes its own part of protein sequence data to speed up the structure prediction. On the Grid, genome scale secondary structure prediction for Mycoplasma genitalium, Escherichia coli, Helicobacter pylori, Saccharomyces cerevisiae and Caenorhabditis slogans were performed and analyzed by a statistical way to show the protein structural deviation and comparison between the genomes. Experimental results show that the Grid is a viable platform to speed up the protein structure prediction and from the predicted structures.

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A JXTA- based system for protein structure comparison (JXTA 기반 단백질 구조 비교 시스템)

  • Jung, Hyo-sook;Ahn, Jin-hyun;Park, Seong-bin
    • The Journal of Korean Association of Computer Education
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    • v.12 no.4
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    • pp.57-64
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    • 2009
  • Protein structure comparison is a task that requires a lot of computing resources because many atoms in proteins need to be processed. To address the issue, Grid computing environment has been employed for processing time-consuming jobs in a distributed manner. However, controling the Grid computing environment may not be easy for non-experts. In this paper, we present a JXTA-based system for protein structure comparison that can be easily controled by non-experts. To search proteins similar to a query protein, the geometric hashing algorithm that consists of preprocessing and recognition was employed. Experimental results indicate that the system can find the correct protein structure for a given query protein structure and the proposed system can be easily extended to solve the protein docking problem. It is expected that the proposed system can be useful for non-experts, especially users who do not have sophisticated knowledge of distributed systems in general such as college students who major in biology or chemistry.

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Solution Structure of Water-soluble Mutant of Crambin and Implication for Protein Solubility

  • Kang, Su-Jin;Lim, Jong-Soo;Lee, Bong-Jin;Ahn, Hee-Chul
    • Bulletin of the Korean Chemical Society
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    • v.32 no.5
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    • pp.1640-1644
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    • 2011
  • Water-soluble mutant of intrinsically insoluble protein, crambin, was produced by mutagenesis based on the sequence analysis with homologous proteins. Thr1, Phe13, and Lys33 of crambin were substituted for Lys, Tyr, and Lys, respectively. The resultant mutant was soluble in aqueous buffer as well as in dodecylphosphocholine (DPC) micelle solution. The $^1H-^{15}N$ spectrum of the mutant crambin showed spectral similarity to that of the wild-type protein except for local regions proximal to the sites of mutation. Solution structure of water-soluble mutant crambin was determined in aqueous buffer by NMR spectroscopy. The structure was almost identical to the wild-type structure determined in non-aqueous solvent. Subtle difference in structure was very local and related to the change of the intra- and inter-protein hydrophobic interaction of crambin. The structural details for the enhanced solubility of crambin in aqueous solvent by the mutation were provided and discussed.

Reconstruction of α-helices in a Protein Molecule (단백질 분자 내 α-헬릭스의 재구성)

  • Kang, Beom Sik;Kim, Ku-Jin;Seo, U Deok
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.4
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    • pp.163-168
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    • 2014
  • In a protein molecule, ${\alpha}$-helices are important for protein structure, function, and binding to other proteins, so the analysis on the structure of helices has been researched. Since an interaction between two helices is evaluated based on their axes, massive errors in protein structure analysis would be caused if a curved or kinked long ${\alpha}$-helix is considered as a linear one. In this paper, we present an algorithm to reconstruct ${\alpha}$-helices in a protein molecule as a sequence of straight helices under given threshold.

Effect of Acylation on the Structure of the Acyl Carrier Protein P

  • Hyun, Ja-shil;Park, Sung Jean
    • Journal of the Korean Magnetic Resonance Society
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    • v.19 no.3
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    • pp.149-155
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    • 2015
  • Acyl carrier protein is related with fatty acid biosynthesis in which specific enzymes are involved. Especially, acyl carrier protein (ACP) is the key component in the growing of fatty acid chain. ACP is the small, very acidic protein that covalently binds various intermediates of fatty acyl chain. Acylation of ACP is mediated by holo-acyl carrier protein synthase (ACPS), which transfers the 4'PP-moiety of CoA to the 36th residue Ser of apo ACP. Acyl carrier protein P (ACPP) is one of ACPs from Helicobacter plyori. The NMR structure of ACPP consists of four helices, which were reported previously. Here we show how acylation of ACPP can affect the overall structure of ACPP and figured out the contact surface of ACPP to acyl chain attached during expression of ACPP in E. coli. Based on the chemical shift perturbation data, the acylation of ACCP seems to affect the conformation of the long loop connecting helix I and helix II as well as the second short loop connecting helix II and helix III. The significant chemical shift change of Ile 54 upon acylation supports the contact of acyl chain and the second loop.

Enhanced Chemical Shift Analysis for Secondary Structure prediction of protein

  • Kim, Won-Je;Rhee, Jin-Kyu;Yi, Jong-Jae;Lee, Bong-Jin;Son, Woo Sung
    • Journal of the Korean Magnetic Resonance Society
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    • v.18 no.1
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    • pp.36-40
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    • 2014
  • Predicting secondary structure of protein through assigned backbone chemical shifts has been used widely because of its convenience and flexibility. In spite of its usefulness, chemical shift based analysis has some defects including isotopic shifts and solvent interaction. Here, it is shown that corrected chemical shift analysis for secondary structure of protein. It is included chemical shift correction through consideration of deuterium isotopic effect and calculate chemical shift index using probability-based methods. Enhanced method was applied successfully to one of the proteins from Mycobacterium tuberculosis. It is suggested that correction of chemical shift analysis could increase accuracy of secondary structure prediction of protein and small molecule in solution.