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Hidden Markov Models for classifying protein secondary and tertiary structures

첫 페이지 보기
  • 발행기관
    한국정보기술융합학회 바로가기
  • 간행물
    JoC 바로가기
  • 통권
    Volume1 Number1 (2010.12)바로가기
  • 페이지
    pp.57-64
  • 저자
    Georgina Mirceva, Miroslav Mirchev, Danco Davcev
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A188414

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원문정보

초록

영어
A knowledge of protein functions is crucial for the development of new drugs, better crops and synthetic biochemicals. To understand the structure-to-function relationship, life-sciences researchers and biologists need to retrieve similar structures from protein databases and classify them into the same protein fold. With technological development the number of determined protein structures increases rapidly, so retrieving structurally similar proteins using current structural alignment algorithms may take hours or even days. Therefore, improving the efficiency of the protein structure retrieval and classification becomes an important research issue. In this paper we present two HMMs (Hidden Markov Models) which provide faster classification of protein structures. Our first method considers secondary structures, while our second method builds a profile of the tertiary structures of protein molecules. We have made a comparison of these two algorithms, and the results showed that by considering the information contained in the protein tertiary structure, a higher precision is achieved. Additionally, we have compared our HMM method based on tertiary structures against an existing method named 3D HMM. This analysis showed that our method is more accurate than 3D HMM.

목차

Abstract
 I. INTRODUCTION
 II. OUR HIDDEN MARKOV MODELS
 III. EXPERIMENTAL RESULTS
 IV. CONCLUSION
 REFERENCES

키워드

Protein classification secondary structure tertiary structure Hidden Markov Model (HMM) 3D HMM

저자

  • Georgina Mirceva [ Department of Computer Science and Computer Engineering, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia ]
  • Miroslav Mirchev [ Department of Computer Science and Computer Engineering, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia ]
  • Danco Davcev [ Department of Computer Science and Computer Engineering, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Macedonia ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술융합학회 [Korea Information Technology Convergence Society]
  • 설립연도
    2008
  • 분야
    공학>전자/정보통신공학
  • 소개
    본 학회는 IT 활용 및 융합에 관한 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 한다.

간행물

  • 간행물명
    JoC [Journal of Convergence]
  • 간기
    계간
  • pISSN
    2093-7741
  • eISSN
    2093-775X
  • 수록기간
    2010~2015
  • 십진분류
    KDC 004 DDC 004

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