A10. PredicTM – Improved Transmembrane Region Prediction

نویسندگان

  • Adam Griffith
  • Ravinder Abrol
  • William A. Goddard
چکیده

The PredicTM method begins with a BLAST search using the ExPASy proteomics server. This search is set up to yield all matching sequences that satisfy the E-Value threshold. This differs from the previous method where only a few dozen to a few hundred sequences were used. Additionally, the PredicTM method is relatively tolerant of unrelated sequences, so hand-filtering of sequences by the user is unnecessary.

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

Prediction of hydrophobic regions effectively in transmembrane proteins using digital filter

The hydrophobic effect is the major factor that drives a protein molecule towards folding and to a great degree the stability of protein structures. Therefore the knowledge of hydrophobic regions and its prediction is of great help in understanding the structure and function of the protein. Hence determination of membrane buried region is a computationally intensive task in bioinformatics. Seve...

متن کامل

PredβTM: A Novel β-Transmembrane Region Prediction Algorithm.

Predicting the transmembrane regions is an important aspect of understanding the structures and architecture of different β-barrel membrane proteins. Despite significant efforts, currently available β-transmembrane region predictors are still limited in terms of prediction accuracy, especially in precision. Here, we describe PredβTM, a transmembrane region prediction algorithm for β-barrel prot...

متن کامل

Sequence based methods for the prediction and analysis of the structural topology of transmembrane beta barrel proteins

Transmembrane proteins play a major role in the normal functioning of the cell. Many transmembrane proteins act as a drug target and hence are of utmost importance to the pharmaceutical industry. In spite of the significance of transmembrane proteins, relatively few transmembrane 3D structures are available due to experimental bottlenecks. Due to this, it is imperative to develop novel computat...

متن کامل

Prediction of Transmembrane Protein Topology Based on Power Average Operator

The prediction of the topology of transmembrane proteins is an important foundation in the research of bioinformatics. In this paper, information fusion theory has been introduced to locate the transmembrane regions and find their orientation. The proposed method, which is on the basis of the power average operator and a kind of similarity degree of interval numbers, considers a transmembrane r...

متن کامل

Formalizing life: Towards an improved understanding of the sequence-structure relationship in α-helical transmembrane proteins Formalizing life: Towards an improved understanding of the sequence-structure relationship in α-helical transmembrane proteins

Genes coding for α-helical transmembrane proteins constitute roughly 25% of the total number of genes in a typical organism. As these proteins are vital parts of many biological processes, an improved understanding of them is important for achieving a better understanding of the mechanisms that constitute life. All proteins consist of an amino acid sequence that fold into a threedimensional str...

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 2008