A consensus view of fold space: combining SCOP, CATH, and the Dali Domain Dictionary.

نویسندگان

  • Ryan Day
  • David A C Beck
  • Roger S Armen
  • Valerie Daggett
چکیده

We have determined consensus protein-fold classifications on the basis of three classification methods, SCOP, CATH, and Dali. These classifications make use of different methods of defining and categorizing protein folds that lead to different views of protein-fold space. Pairwise comparisons of domains on the basis of their fold classifications show that much of the disagreement between the classification systems is due to differing domain definitions rather than assigning the same domain to different folds. However, there are significant differences in the fold assignments between the three systems. These remaining differences can be explained primarily in terms of the breadth of the fold classifications. Many structures may be defined as having one fold in one system, whereas far fewer are defined as having the analogous fold in another system. By comparing these folds for a nonredundant set of proteins, the consensus method breaks up broad fold classifications and combines restrictive fold classifications into metafolds, creating, in effect, an averaged view of fold space. This averaged view requires that the structural similarities between proteins having the same metafold be recognized by multiple classification systems. Thus, the consensus map is useful for researchers looking for fold similarities that are relatively independent of the method used to compare proteins. The 30 most populated metafolds, representing the folds of about half of a nonredundant subset of the PDB, are presented here. The full list of metafolds is presented on the Web.

برای دانلود 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

Assessment of Protein Domain Classifications: SCOP, CATH, Dali and EVEREST

Background: SCOP is a manual classification of protein domain structures. CATH is a classification of protein domain structures created through a combination of manual and automatic methods. The Dali Domain Classification (henceforth Dali) is an automatically generated classification of protein domain structures. EVEREST is an automatically generated classification of protein domains that uses ...

متن کامل

117. Consensus approach for benchmarking domain assignment in protein structures

Introduction Assignment of domains in protein structures remains to be a difficult and unsolved problem. Existing algorithms frequently produce contradicting results, different from expert’s assignment. In this work we examine trends in the performance of a new generation of completely automated domain assignment algorithms. We have benchmarked the following automatic methods: DALI [3], DomainP...

متن کامل

Structural classification of thioredoxin-like fold proteins.

Protein structure classification is necessary to comprehend the rapidly growing structural data for better understanding of protein evolution and sequence-structure-function relationships. Thioredoxins are important proteins that ubiquitously regulate cellular redox status and various other crucial functions. We define the thioredoxin-like fold using the structure consensus of thioredoxin homol...

متن کامل

A comparison of SCOP and CATH with respect to domain-domain interactions.

The analysis and prediction of protein-protein interaction sites from structural data are restricted by the limited availability of structural complexes that represent the complete protein-protein interaction space. The domain classification schemes CATH and SCOP are normally used independently in the analysis and prediction of protein domain-domain interactions. In this article, the effect of ...

متن کامل

Cross-Over between Discrete and Continuous Protein Structure Space: Insights into Automatic Classification and Networks of Protein Structures

Structural classifications of proteins assume the existence of the fold, which is an intrinsic equivalence class of protein domains. Here, we test in which conditions such an equivalence class is compatible with objective similarity measures. We base our analysis on the transitive property of the equivalence relationship, requiring that similarity of A with B and B with C implies that A and C a...

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

برای دانلود 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

عنوان ژورنال:
  • Protein science : a publication of the Protein Society

دوره 12 10  شماره 

صفحات  -

تاریخ انتشار 2003