Javascript must be enabled to continue!
Target selection for structural genomics
View through CrossRef
Abstract
Bioinformatics analyses provide invaluable guidance in finding the shortest path to the ultimate goal of structural genomics – full understanding of structure–function relationships in proteins and exhaustive exploration of the sequence‐structure space. Advanced computational tools allow for predicting currently intractable target proteins and those that already have a known fold, grouping sequences into families, and propagating available structural information to a large number of protein sequences by means of homology modeling. Rational target selection is also a major cost‐saving factor because it prevents the international structural genomics consortia from duplicating effort and helps to identify the most economical set of target proteins. The main strategies in target selection include the systematic determination of protein structures from completely sequenced genomes of selected model organisms, elucidation of all fold types existing in nature, and exhaustive covering of the entire sequence space with structural information.
Title: Target selection for structural genomics
Description:
Abstract
Bioinformatics analyses provide invaluable guidance in finding the shortest path to the ultimate goal of structural genomics – full understanding of structure–function relationships in proteins and exhaustive exploration of the sequence‐structure space.
Advanced computational tools allow for predicting currently intractable target proteins and those that already have a known fold, grouping sequences into families, and propagating available structural information to a large number of protein sequences by means of homology modeling.
Rational target selection is also a major cost‐saving factor because it prevents the international structural genomics consortia from duplicating effort and helps to identify the most economical set of target proteins.
The main strategies in target selection include the systematic determination of protein structures from completely sequenced genomes of selected model organisms, elucidation of all fold types existing in nature, and exhaustive covering of the entire sequence space with structural information.
Related Results
Genomics and society: four scenarios for 2015
Genomics and society: four scenarios for 2015
This paper develops four alternative scenarios depicting possible futures for genomics applications within a broader social context. The scenarios integrate forecasts for future ge...
The selection balance: contrasting value, proximity and priming in a multitarget foraging task
The selection balance: contrasting value, proximity and priming in a multitarget foraging task
A critical question in visual foraging concerns the mechanisms driving the next target selection. Observers first identify a set of candidate targets, and then select the best opti...
Genomics education for medical specialists: case-based specialty workshops and blended learning
Genomics education for medical specialists: case-based specialty workshops and blended learning
Aim: To develop and evaluate genomics education programs for health professionals to expedite the translation of genomics into healthcare. Methods: Our co-design team of genetic s...
Network Analysis for Estimating Standardization Trends in Genomics
Network Analysis for Estimating Standardization Trends in Genomics
Abstract
With the development of biotechnology in genomics, such as droplet digital PCR, sequencing device, gene analysis software, an increase in the clinical application ...
Genomics in Clinical trials for Breast Cancer
Genomics in Clinical trials for Breast Cancer
Abstract
Breast cancer (B.C.) still has increasing incidences and mortality rates globally. It is known that B.C. and other cancers have a very high rate of genetic ...
Imaging genomics of cancer: a bibliometric analysis and review
Imaging genomics of cancer: a bibliometric analysis and review
Abstract
Background
Imaging genomics is a burgeoning field that seeks to connections between medical imaging and genomic features. It has been wi...
Bench-ML: A Benchmarking Web Interface for Machine Learning Methods and Models in Genomics
Bench-ML: A Benchmarking Web Interface for Machine Learning Methods and Models in Genomics
AbstractMachine learning is a complex but essential technology in genomics data analysis and its popularity has increased the rate of new methodological approaches published but th...

