• 제목/요약/키워드: peptide identification

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확률그래프모델을 이용한 MS/MS 기반 단백질 동정 기법 (A Method for Protein Identification Based on MS/MS using Probabilistic Graphical Models)

  • 이홍란;황규백
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(B)
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    • pp.426-428
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    • 2012
  • In order to identify proteins that are present in biological samples, these samples are separated and analyzed under the sequential procedure as follows: protein purification and digestion, peptide fragmentation by tandem mass spectrometry (MS/MS) which breaks peptides into fragments, peptide identification, and protein identification. One of the widely used methods for protein identification is based on probabilistic approaches such as ProteinProphet and BaysPro. However, they do not consider the difference in peptide identification probabilities according to their length. Here, we propose a probabilistic graphical model-based approach to protein identification from MS/MS data considering peptide identification probabilities, number of sibling peptides, and peptide length. We compared our approach with ProteinProphet using a yeast MS/MS dataset. As a result, our model identified 27 more proteins than ProteinProphet at 1% of FDR (false discovery rate), confirming the importance of peptide length information in protein identification.

탠덤 질량 분석을 위한 디코이 데이터베이스 생성 방법의 중복성 관점에서의 성능 평가 (Evaluation of the Redundancy in Decoy Database Generation for Tandem Mass Analysis)

  • 이홍란;류단휘;이기욱;황규백
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제22권1호
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    • pp.56-60
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    • 2016
  • 탠덤 질량 분석에서는 신뢰도 높은 펩타이드 동정을 위해 목표 데이터베이스의 참조 단백질 순서를 재배치한 디코이 데이터베이스가 주로 이용된다. 한편 목표 데이터베이스와 디코이 데이터베이스 사이 혹은 디코이 데이터베이스 내부에 서열이 동일한 중복 펩타이드가 존재할 수 있으며, 이는 단백질 동정을 어렵게 하는 요인이 된다. 따라서 디코이 데이터베이스의 중복성을 최소화하는 것은 중요한 문제이다. 본 논문에서는 디코이 데이터베이스 생성에 널리 사용되는 의사셔플(pseudo-shuffling)과 의사역순(pseudo-reversing) 방법이 디코이 데이터베이스의 중복성에 미치는 영향을 조사하였다. 실험 결과, 목표 데이터베이스 크기와 데이터베이스 생성 시 허용되는 'missed cleavage site'의 최대 개수는 중복성을 증가시킴을 확인하였다. 또한 동일한 조건에서는 의사역순 방법이 의사셔플보다 항상 낮은 수준의 중복성을 가지는 디코이 데이터베이스를 생성하였다.

Evaluation of MALDI Biotyping for Rapid Subspecies Identification of Carbapenemase-Producing Bacteria via Protein Profiling

  • Somboro, Anou M.;Tiwari, Dileep;Shobo, Adeola;Bester, Linda A.;Kruger, Hendrik G.;Govender, Thavendran;Essack, Sabiha Y.
    • Mass Spectrometry Letters
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    • 제5권4호
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    • pp.110-114
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    • 2014
  • The method of direct mass spectrometry profiling is reliable and reproducible for the rapid identification of clinical isolates of bacteria and fungi. This is the first study evaluating the approach of MALDI-TOF mass spectrometry profiling for rapid identification of carbapenemase-resistant enterobacteriaceae (CRE). Proof of concept was achieved by the discrimination of CRE using MALDI Biotyper MS based on the protein. This profiling appears promising by the visual observation of consistent unique peaks, albeit low intensity, that could be picked up from the mean spectra (MSP) method. The Biotyper MSP creation and identification methods needed to be optimized to provide significantly improved differences in scores to allow for subspecies identification with and without carbapenemases. These spectra were subjected to visual peak picking and in all cases; there were pertinent differences in the presence or absence of potential biomarker peaks to differentiate isolates. We also evaluated this method for potential discrimination between different carbapenemases bacteria, utilizing the same strategy. Based on our data and pending further investigation in other CREs, MALDI-TOF MS has potential as a diagnostic tool for the rapid identification of even closely related carbapenemases but would require a paradigm shift in which Biotyper suppliers enable more flexible software control of mass spectral profiling methods.

Theoretical Peptide Mass Distribution in the Non-Redundant Protein Database of the NCBI

  • Lim Da-Jeong;Oh Hee-Seok;Kim Hee-Bal
    • Genomics & Informatics
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    • 제4권2호
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    • pp.65-70
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    • 2006
  • Peptide mass mapping is the matching of experimentally generated peptides masses with the predicted masses of digested proteins contained in a database. To identify proteins by matching their constituent fragment masses to the theoretical peptide masses generated from a protein database, the peptide mass fingerprinting technique is used for the protein identification. Thus, it is important to know the theoretical mass distribution of the database. However, few researches have reported the peptide mass distribution of a database. We analyzed the peptide mass distribution of non-redundant protein sequence database in the NCBI after digestion with 15 different types of enzymes. In order to characterize the peptide mass distribution with different digestion enzymes, a power law distribution (Zipfs law) was applied to the distribution. After constructing simulated digestion of a protein database, rank-frequency plot of peptide fragments was applied to generalize a Zipfs law curve for all enzymes. As a result, our data appear to fit Zipfs law with statistically significant parameter values.

Neuropeptidomics: Mass Spectrometry-Based Identification and Quantitation of Neuropeptides

  • Lee, Ji Eun
    • Genomics & Informatics
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    • 제14권1호
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    • pp.12-19
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    • 2016
  • Neuropeptides produced from prohormones by selective action of endopeptidases are vital signaling molecules, playing a critical role in a variety of physiological processes, such as addiction, depression, pain, and circadian rhythms. Neuropeptides bind to post-synaptic receptors and elicit cellular effects like classical neurotransmitters. While each neuropeptide could have its own biological function, mass spectrometry (MS) allows for the identification of the precise molecular forms of each peptide without a priori knowledge of the peptide identity and for the quantitation of neuropeptides in different conditions of the samples. MS-based neuropeptidomics approaches have been applied to various animal models and conditions to characterize and quantify novel neuropeptides, as well as known neuropeptides, advancing our understanding of nervous system function over the past decade. Here, we will present an overview of neuropeptides and MS-based neuropeptidomic strategies for the identification and quantitation of neuropeptides.

Synthetic peptide를 이용한 mu-opioid receptor에 대한 항혈청의 생산과 검정 (Production and identification of antisera against mu-opioid receptor using synthetic peptide epitope)

  • 이장헌;권영배;한호재
    • 대한수의학회지
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    • 제39권1호
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    • pp.45-54
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    • 1999
  • In the present study we have analyzed the characteristics and distribution of the mu-opioid receptor(MOR) by raising anti-peptide antisera to the C-terminal peptide of MOR. The antisera against MOR was produced in New Zealand White rabbit against 15 residue corresponding to amino acids, 384-398 of the cloned rat MOR. The antigenic peptide was synthesized using an Applied Biosystems 432 solid-phase peptide synthesizer. The specificity and identification of the antisera were tested by analysis of transfected cells, epitope mapping and immunohistochemical method. COS-7 cells electroporated with MOR cDNA were used to evaluate the characteristics and subcellular distribution of MOR. MOR immunoreactivity was prodominent in the plasmalemma and subcellular compartments such as endoplasmic reticulum, Golgi apparatus and vesicle like structure. Furthermore, both tissue sections and transfected cell lines could be immunostained with these antisera and the immunoreactivity was abolished when anti-MOR sera were preincubated with the peptide against which they were raised. Based on epitope mapping analysis, all antisera appeared to have a similar epitope, which was determined to be within the last amino acid, 391-398. Moreover, immunohistochemistry showed that MOR immunoreactivity was observed in many brain areas including cerebral cortex, striatum, hippocampus, locus coeruleus and the superficial laminae of the dorsal horn. These stained spinal cord and brain areas showed the mirrored pattern observed in auto radiographic studies of mu-opioid binding as well as a pattern similar to that seen by is situ hybridization for MOR. Thus, several lines of evidence support the conclusion that the antisera produced in the present study most likely recognize mu-opioid receptor. These results suggest that MOR antisera may be utilized as useful tool to analyze the physiological and pharmacological studies for mu-opioid receptor in the future.

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대장균과 효모를 이용한 lunasin peptide의 생산 및 histone acetylation 억제활성 (The Production of Lunasin Peptide Using E. coli and P. pastoris, and Inhibitory Effect of Histone Acetylation)

  • 박재호;박광훈;송훈민;정진부
    • 한국자원식물학회지
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    • 제30권1호
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    • pp.1-7
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    • 2017
  • 본 연구는 항암 단백질로 알려진 lunasin peptide의 산업적 활용성을 높이고자 lunasin peptide를 생산할 수 있는 시스템을 개발하고, 생산된 lunasin peptide가 식물유래 lunasin peptide의 생리활성을 가지는지 chromatin binding 활성과 histone acetylation 억제활성을 통해 평가하였다. 그 결과 E. coli와 P. pastoris를활용하여 재조합 lunasin peptide를 생산했으며, 생산 된 재조합 lunasin 펩타이드가 식물유래 lunasin peptide의 chromatin binding 활성과 histone acetylation 억제활성을 나타냄을 확인할 수 있었다. 따라서, 본 실험 연구의결과를 토대로 lunasin 펩타이드의 대량생산이 진행된다면 천연물 유래 생리활성 물질로서 효과적이면서도 안전한 기능성 식품소재로의 산업적 활용이 가능할 것으로 기대된다.

Identification of an antimicrobial peptide from human methionine sulfoxide reductase B3

  • Kim, Yong-Joon;Kwak, Geun-Hee;Lee, Chu-Hee;Kim, Hwa-Young
    • BMB Reports
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    • 제44권10호
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    • pp.669-673
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    • 2011
  • Human methionine sulfoxide reductase B3A (hMsrB3A) is an endoplasmic reticulum (ER) reductase that catalyzes the stereospecific reduction of methionine-R-sulfoxide to methionine in proteins. In this work, we identified an antimicrobial peptide from hMsrB3A protein. The N-terminal ER-targeting signal peptide (amino acids 1-31) conferred an antimicrobial effect in Escherichia coli cells. Sequence and structural analyses showed that the overall positively charged ER signal peptide had an Argand Pro-rich region and a potential hydrophobic ${\alpha}$-helical segment that contains 4 cysteine residues. The potential ${\alpha}$-helical region was essential for the antimicrobial activity within E. coli cells. A synthetic peptide, comprised of 2-26 amino acids of the signal peptide, was effective at killing Gram-negative E. coli, Klebsiella pneumoniae, and Salmonella paratyphi, but had no bactericidal activity against Gram-positive Staphylococcus aureus.

대량의 프로테옴 데이타를 효과적으로 해석하기 위한 기계학습 기반 시스템 (An Effective Data Analysis System for Improving Throughput of Shotgun Proteomic Data based on Machine Learning)

  • 나승진;백은옥
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권10호
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    • pp.889-899
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    • 2007
  • 최근 프로테오믹스 분야에서 단백질의 추출, 분리기술의 발전과 고성능 질량분석 장비로 인하여 대량으로, 또 빠르게 샘플을 분석하는 것이 가능해짐에 따라서, 한번의 실험으로부터 얻어지는 실험데이타의 양이 대폭 늘어나게 되었다. 따라서 대량의 데이타를 어떻게 처리하여 필요한 정보만을 얻어내는가가 큰 이슈가 되고 있다. 하지만 기존의 데이타 해석과정은 불필요하게 계산자원을 낭비하는 요소를 상당 부분을 포함하고 있고, 이로 인해 데이타 해석 시간이 증가함은 물론, 종종 옳지 않은 해석 결과를 생성함으로써 결과에 대한 신뢰도의 저하를 초래했다. 본 논문에서는 기존의 데이타 해석 과정에서의 문제점을 지적하고, 데이타 처리의 효율을 높임과 동시에 해석 결과의 신뢰도를 제고하기 위한 SIFTER 시스템을 제안한다. SIFTER 시스템은 본격적인 데이타 해석에 앞서, 질량 스펙트럼의 질을 평가하고 하전량을 결정하는 소프트웨어를 제공한다. 탠덤 질량 스펙트럼에 나타나는 단편 이온의 특성을 고려하여 스펙트럼의 질과 하전량을 정확하게 결정하는 방법을 제공함으로써, 데이타 해석에 앞서 스펙트럼의 질이 낮아 해석이 불가능할 것이 분명한 경우 이들을 미리 제거하고 스펙트럼 해석과정에 잘못된 정보가 사용되지 않도록 한다. 결과적으로 데이타 해석과정에서의 효율과 해석결과의 정확성에 있어 대폭적인 개선을 기대할 수 있다.

Identification of a Functionally Relevant Signal Peptide of Mouse Ficolin A

  • Kwon, Sang-Hoon;Kim, Min-Soo;Kim, Dong-Bum;Lee, Keun-Wook;Choi, Soo-Young;Park, Jin-Seu;Kim, Yeon-Hyang;Lee, Young-Hee;Kwon, Hyung-Joo
    • BMB Reports
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    • 제40권4호
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    • pp.532-538
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    • 2007
  • Mouse ficolin A is a plasma protein with lectin activity, and plays a role in host defense by binding carbohydrates, especially GlcNAc, on microorganisms. The ficolin A subunit consists of an N-terminal signal peptide, a collagen-like domain, and a C-terminal fibrinogen-like domain. In this study, we show that ficolin A can be synthesized and oligomerized in a cell and secreted into culture medium. We also identify a functionally relevant signal peptide of ficolin A by using MS/MS analysis to determine the N-terminal sequence of secreted ficolin A. When the signal peptide of mouse ficolin A was fused with enhanced green fluorescent protein (EGFP), EGFP was released into HEK 293 cell medium, suggesting that the signal peptide can efficiently direct ficolin A secretion. Moreover, our results suggest that the signal peptide of ficolin A has potential application for the production of useful secretory proteins.