Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Protein tertiary structure
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Projects == === Prediction algorithm === The [[Folding@home]] project at the [[University of Pennsylvania]] is a [[distributed computing]] research effort which uses approximately 5 [[petaFLOPS]] (β10 x86 petaFLOPS) of available computing. It aims to find an [[algorithm]] which will consistently predict protein tertiary and quaternary structures given the protein's amino acid sequence and its cellular conditions.<ref>{{Cite web |title=Folding@home β Fighting disease with a world wide distributed super computer. |url=https://foldingathome.org/ |access-date=2024-04-23 |language=en-US}}</ref><ref>{{Cite web |title=Bowman Lab β University of Pennsylvania |url=https://bowmanlab.seas.upenn.edu/ |access-date=2024-04-23 |language=en-US}}</ref> A list of software for protein tertiary structure prediction can be found at [[List of protein structure prediction software]]. === Protein aggregation diseases === [[Protein aggregation]] diseases such as [[Alzheimer's disease]] and [[Huntington's disease]] and [[prion]] diseases such as [[bovine spongiform encephalopathy]] can be better understood by constructing (and reconstructing) [[disease model]]s. This is done by causing the disease in laboratory animals, for example, by administering a [[toxin]], such as [[MPTP]] to cause Parkinson's disease, or through [[genetic engineering|genetic manipulation]].<ref name="park">{{cite journal|title=Classic toxin-induced animal models of Parkinson's disease: 6-OHDA and MPTP|pmid=15503155|doi=10.1007/s00441-004-0938-y | volume=318|issue=1|date=October 2004|journal=Cell Tissue Res.|pages=215β24|author=Schober A|s2cid=1824912}}</ref><ref name="ko">{{cite web|url=http://www.sigmaaldrich.com/catalog/genes/TP53|title=Tp53 Knockout Rat|publisher=Cancer|access-date=2010-12-18}}</ref> [[Protein structure prediction]] is a new way to create disease models, which may avoid the use of animals.<ref name="bit">{{cite web|url=http://www.bit-tech.net/hardware/graphics/2009/06/15/what-is-folding-and-why-does-it-matter/|title=Feature β What is Folding and Why Does it Matter?|access-date=December 18, 2010|archive-url=https://web.archive.org/web/20131212083942/http://www.bit-tech.net/hardware/graphics/2009/06/15/what-is-folding-and-why-does-it-matter/|archive-date=December 12, 2013|url-status=dead}}</ref> ===Protein Tertiary Structure Retrieval Project (CoMOGrad)=== Matching patterns in tertiary structure of a given protein to huge number of known protein tertiary structures and retrieve most similar ones in ranked order is in the heart of many research areas like function prediction of novel proteins, study of evolution, disease diagnosis, drug discovery, antibody design etc. The CoMOGrad project at BUET is a research effort to device an extremely fast and much precise method for protein tertiary structure retrieval and develop online tool based on research outcome.<ref>{{Cite web | url=http://research.buet.ac.bd:8080/Comograd/ |title = Comograd :: Protein Tertiary Matching}}</ref><ref>{{cite journal |last1=Karim |first1=Rezaul |last2=Aziz |first2=Mohd Momin Al |last3=Shatabda |first3=Swakkhar |last4=Rahman |first4=M. Sohel |last5=Mia |first5=Md Abul Kashem |last6=Zaman |first6=Farhana |last7=Rakin |first7=Salman |title=CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval |journal=Scientific Reports |date=21 August 2015 |volume=5 |issue=1 |pages=13275 |doi=10.1038/srep13275 |pmid=26293226 |pmc=4543952 |arxiv=1409.0814 |bibcode=2015NatSR...513275K }}</ref>
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)