Discovering functional patterns from pattern signatures of P53 protein sequence association structure

نویسندگان
چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Discovering protein–DNA binding sequence patterns using association rule mining

Protein-DNA bindings between transcription factors (TFs) and transcription factor binding sites (TFBSs) play an essential role in transcriptional regulation. Over the past decades, significant efforts have been made to study the principles for protein-DNA bindings. However, it is considered that there are no simple one-to-one rules between amino acids and nucleotides. Many methods impose compli...

متن کامل

A pattern mining approach toward discovering generalized sequence signatures

Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the concept of sequence signatures and introduce an algorithm for efficiently determining signatures based on subsequences that may be located anywhere on a sequence. In a preprocessing step, sequences are transformed int...

متن کامل

Discovering Protein-Protein Interaction Sites from Sequence and Structure

This chapter gives a comprehensive introduction of the sequence/structural features that are characteristic of protein-protein interaction sites and reviews state-of-the-art methodologies for protein-protein binding site prediction. Protein-protein interaction residues are largely responsible for mediating physical binding processes such as inhibitory effects through enzyme-inhibitor interactio...

متن کامل

Discovering Sequence-Structure Motifs from Protein Segments and Two Applications

We present a novel method for clustering short protein segments having strong sequence-structure correlations, and demonstrate that these clusters contain useful structural information via two applications. When applied to local tertiary structure prediction, we achieve approximately 60% accuracy with a novel dynamic programming algorithm. When applied to secondary structure prediction based on...

متن کامل

Discovering Sequence-Structure Patterns in Proteins with Variable Secondary Structure

Proteins that share a similar function often exhibit conserved sequence patterns. Sequence patterns help to classify proteins into families where the exact function may or may not be known. Research has shown that these domain signatures often exhibit specific three-dimensional structures. We have previously shown that sequence patterns combined with structural information, in general, have sup...

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

ژورنال

عنوان ژورنال: Neurocomputing

سال: 2014

ISSN: 0925-2312

DOI: 10.1016/j.neucom.2014.06.036