Weak Homology Detection by Profile-Profile Comparison

نویسندگان

  • Masashi Fujita
  • Tatsuya Akutsu
  • Susumu Goto
  • Minoru Kanehisa
چکیده

Experimentally determined protein tertiary structures are currently increasing in an enormous rate. The growth of the structure database makes structure prediction methods based on known tertiary structures more efficient. Detecting weak homology is crucial to extend applicable area of these methods. For this purpose, a profile or PSSM (position-specific score matrix) derived from multiple alignments of protein families has been proved to be quite effective. One of the most successful examples of profile-based methods is PSI-BLAST. But PSI-BLAST simply compares profiles with amino acid sequences. A more sensitive search must be achieved by comparing one profile with another profile, and several studies reported that sensitivity was improved when profile pairs were aligned [4, 5]. We combined this profile-profile comparison method and predicted secondary structure information, and succeeded in significantly improving distant homology recognition performance in comparison with PSI-BLAST.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Performance Comparison between Profiles from Hidden Markov Models and from Pseudocount Method

Remote homolog detection is one of the main issues in bioinformatics, and the profile-profile comparison is one of the most effective approaches. Recently, we have proposed a novel profile, match-node profile, constructed via profile HMM [6]. To evaluate the performance of match-node profile, we construct the profile by two popular HMM packages, HMMER [2] and SAM [4], and compared the performan...

متن کامل

Profile-Profile Comparison Based on Hidden Markov Model Profiles

The detection of sequence similarity within the twilight zone has been a challenging problem in sequence analysis. Among various types of approaches for sequence similarity detection, the profileprofile comparison is one of the most reliable approaches [4]. In this study, we design a profile, named match-node profile, which is generated from match nodes in the Hidden Markov Model (HMM) profiles.

متن کامل

Protein homology detection by HMM?CHMM comparison

MOTIVATION Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. RESULTS We have generalized the alignment of protein sequences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile HMMs. We present a method for detecting distant homologous relationships between proteins based on t...

متن کامل

Methods of remote homology detection can be combined to increase coverage by 10% in the midnight zone

MOTIVATION A recent development in sequence-based remote homologue detection is the introduction of profile-profile comparison methods. These are more powerful than previous technologies and can detect potentially homologous relationships missed by structural classifications such as CATH and SCOP. As structural classifications traditionally act as the gold standard of homology this poses a chal...

متن کامل

Optimizing the size of the sequence profiles to increase the accuracy of protein sequence alignments generated by profile-profile algorithms

MOTIVATION Profile-based protein homology detection algorithms are valuable tools in genome annotation and protein classification. By utilizing information present in the sequences of homologous proteins, profile-based methods are often able to detect extremely weak relationships between protein sequences, as evidenced by the large-scale benchmarking experiments such as CASP and LiveBench. RE...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002