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Molecular dynamics simulations of ligand dissociation from thyroid hormone receptors: evidence of the likeliest escape pathway and its implications for the design of novel ligands.
Leandro Martínez et al.
Journal of medicinal chemistry 49 (1), 23-6 (12 Jan 2006)
 
CC+: a relational database of coiled-coil structures.
Oliver D Testa, Efrosini Moutevelis, and Derek N Woolfson
Nucleic acids research, (08 Oct 2008)
 
Automatically extracting functionally equivalent proteins from SwissProt
Lisa EM McMillan and Andrew CR Martin
BMC Bioinformatics 9 (1), 418 (06 Oct 2008)
Background There is a frequent need to obtain sets of functionally equivalent homologous proteins (FEPs) from different species. While it is usually the case that orthology implies functional equivalence, this is not always true; therefore datasets of orthologous proteins are not appropriate. The information relevant to extracting FEPs is contained in databanks such as UniProtKB/SwissProt and a manual analysis of these data allow FEPs to be extracted on a one-off basis. However there has been no resource allowing the easy, automatic extraction of groups of FEPs - for example, all instances of protein C. We have developed FOSTA, an automatically generated database of FEPs annotated as having the same function in UniProtKB/SwissProt which can be used for large-scale analysis. The method builds a candidate list of homologues and filters out functionally diverged proteins on the basis of functional annotations using a simple text mining approach. Results Large scale evaluation of our FEP extraction method is difficult as there is no gold-standard dataset against which the method can be benchmarked. However, a manual analysis of five protein families confirmed a high level of performance. A more extensive comparison with two manually verified functional equivalence datasets also demonstrated very good performance. Conclusions In summary, FOSTA provides an automated analysis of annotations in UniProtKB/SwissProt to enable groups of proteins already annotated as functionally equivalent, to be extracted. Our results demonstrate that the vast majority of UniProtKB/SwissProt functional annotations are of high quality, and that FOSTA can interpret annotations successfully. Where FOSTA is not successful, we are able to highlight inconsistencies in UniProtKB/SwissProt annotation. Most of these would have presented equal difficulties for manual interpretation of annotations. We discuss limitations and possible future extensions to FOSTA, and recommend changes to the UniProtKB/SwissProt format, which would facilitate text-mining of UniProtKB/SwissProt.
 
Purification Techniques . .his tags
www.sciencedirect.com
Posted by Moguls15 to purification Protein on Wed Oct 08 2008 at 22:27 UTC | info | related
 
protein interaction database - Google keresés
www.google.hu
Posted by lumga to databases interaction Protein on Mon Oct 06 2008 at 21:29 UTC | info | related
 
How To Eat For Explosive Bodybuilding Performance
www.bodybuildingtoday.com
If you’re an athlete, you’re accustomed to watching what you eat. But you may not know what to eat before an event to optimize performance and...
 
The Best Protein Bars Ever – No Discussion
www.bodybuildingtoday.com
It’s not hard to get overwhelmed by the glossy ads, the huge, ripped bodies and the over the top claims that are used to push a protein bar. What you need to do, however...
 
The Bodybuilder's Breakfast
www.bodybuildingtoday.com
It is a well-known fact that breakfast is one of, if not THE most important meal of the day. Yet strangely enough, most people...
 
The Good Egg – Cholesterol's Effects On Bodybuilders
www.bodybuildingtoday.com
The egg is truly an amazing food. Your average chicken egg contains 6 grams of protein (including all the essential amino acids) making it...
 
Why Every Bodybuilder Should Be Big On Beef
www.bodybuildingtoday.com
What do Ronnie Coleman, Jay Cutler, and Gunter Schlierkamp have in common besides being the top 3 Mr. Olympia competitors...

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