THEMATICS as a Tool for Functional Genomics

نویسنده

  • Mary Jo Ondrechen
چکیده

Structural genomics efforts are determining in high throughput the three-dimensional structures of thousands of gene products. Many of these protein structures are of unknown function. The next major step after genome sequencing and protein structure determination is the determination of the function of the thousands of newly-discovered gene products. This presentation focuses on THEMATICS [3, 4], a simple computational predictor of information about the function of a protein. In particular, THEMATICS predicts the location of, and some chemical characteristics of, the active site of an enzyme. Application of THEMATICS requires only the structure of the subject protein. Thus THEMATICS works for proteins that have no similarity in sequence or in structure to any protein of known function. The accuracy of THEMATICS predictions is verified using proteins whose functions and mechanisms have been well studied experimentally.

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

Computational aspects of thematics: application to protein tyrosine phosphatase role in diabetes mellitus

Computation plays an important role in functional genomics and proteomics. Theoretical Microscopic Titration Curves (Thematics) are being employed to predict active binding sites of enzymes. The principal reasons are that the pace of discovery of new proteins is increasing, outpacing the ability to characterize them in conventional biochemical and structural techniques; in addition, advances in...

متن کامل

Prediction of active sites for protein structures from computed chemical properties

MOTIVATION Identification of functional information for a protein from its three-dimensional (3D) structure is a major challenge in genomics. The power of theoretical microscopic titration curves (THEMATICS), when coupled with a statistical analysis, provides a method for high-throughput screening for identification of catalytic sites and binding sites with high accuracy and precision. The meth...

متن کامل

Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties

A new monotonicity-constrained maximum likelihood approach, called Partial Order Optimum Likelihood (POOL), is presented and applied to the problem of functional site prediction in protein 3D structures, an important current challenge in genomics. The input consists of electrostatic and geometric properties derived from the 3D structure of the query protein alone. Sequence-based conservation in...

متن کامل

Computed protonation properties: unique capabilities for protein functional site prediction.

Prediction of protein functional sites from 3D structure is an important problem, particularly as structural genomics projects produce hundreds of structures of unknown function, including novel folds and the structures of orphan sequences. The present paper shows how computed protonation properties provide unique and powerful capabilities for the prediction of catalytic sites from the 3D struc...

متن کامل

p38 MAPK and PI3K/AKT signalling cascades in Parkinson’s disease

Parkinson's disease (PD) is a chronic neurodegenerative condition which has the second largest incidence rate among all other neurodegenerative disorders barring Alzheimer's disease (AD). Currently there is no cure and researchers continue to probe the therapeutic prospect in cell cultures and animal models of PD. Out of several factors contributing to PD prognosis, the role of p38 MAPKs (mitog...

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