There are large differences between the Human Proteome Folding
Project and folding@home.
Folding@home aims to get at how a few proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself. Understanding why protein folding works (and why it doesn't) could have a significant impact in certain diseases like Alzheimer's and Hunntington's
Disease, which Folding@Home is actively studying.
The Human Proteome Folding Project will predict the structures of large numbers of proteins of UNKNOWN-structure. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff but have very different objectives.
For more info on all this stuff see our site:
http://www.systemsbiology.org/Default.aspx?pagenam e=humanproteome
I am the lead scientist on the project.
The lawyers at my institute read the fine
print and EVERYTHING will be public.
you are correct in not trusting big companies... but in this case my institute has a contract... so in this case IBM has good intentions. United Devices also has a good history of public rlease of the resullts generated by grid.org.
Richard Bonneau
Institute for Systems Biology
Seattle
There are large differences between the Human Proteome Folding Project and folding@home.
Folding@home aims to get at how a few proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself. Understanding why protein folding works (and why it doesn't) could have a significant impact in certain diseases like Alzheimer's and Hunntington's Disease, which Folding@Home is actively studying.
The Human Proteome Folding Project will predict the structures of large numbers of proteins of UNKNOWN-structure. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff but have very different objectives.
For more info on all this stuff see our site:
http://www.systemsbiology.org/Default.aspx?pagenam e=humanproteome
vijay may put up some info distinguishing our projects as well.
the results will be public.
everything that runs on the grid will be public domain.
when we (ISB) talked with IBM they we're
very clear about this (not that we would have it any other
way as a non-profit research institute).
public
incorrect.
there are large differences between the Human Proteome Folding Project and folding@home.
DeepStream got it right...
Folding@home aims to get at how a few proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself. The project does not focus on generating testable predictions.
The Human Proteome Folding Project will predict the structures of proteins of UNKNOWN-structure, lots of them, tons of them. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff, one is for Physics peeps and one is for biologists...
For more info on all this stuff see our site (including pictures of proteins):
http://www.systemsbiology.org/Default.aspx?pagenam e=humanproteome
Howdy, I'm Rich Bonneau, the scientific lead, on the Human Proteome Folding Project at the Institute for Systems Biology. Ignore everything you've heard so far that you didn't read on the systemsbiology.org website. It turns out it is difficult explaining structure prediction to reporters...
There are a lot of questions in different threads so:
How is this different from folding@home:
DeepStream got it right... Folding@home aims to get at the science of how a small number of proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself.
The Human Proteome Folding Project will predict the structures of proteins of UNKNOWN-structure, lots of them, tons of them. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff, one is for Physics peeps and one is for biologists...
For more info on all this stuff see our site (including pictures of proteins): http://www.systemsbiology.org/Default. aspx?pagenam e=humanproteome
Why do we care about proteins of unknown function:
Modern biology is in a state of continual revolution, as technologies that allow us to observe biological systems (ourselves and the organisms we interact with) allow us to sequence genomes faster and cheaper. As new genomes are sequenced we find that many of the genes we sequence are of unknown function (a large fraction of human gene/proteins are of unknown function... a virtual blind-spot to biomedical researchers). One promising approach is to predict or measure the structure of the proteins that genes make and then draw functional inferences/conclusions from the shapes/structures of the proteins. The Human proteome project will focus on this large fraction of proteins in the Human proteome with no know structure or function. Predicting the structure of these proteins gives biologists clues as to what the function of those proteins are, helps us understand the human system, and ultimately helps us fix the human system when it breaks (cure disease).
Lars Malmstroem, David Baker and Leroy Hood are also involved heavily in this project as are Viktors Berstis and Rick Alther at IBM.
Sorry about no linux clients... talk to big-blue and united devices about that...
Slashdot Mirror
There are large differences between the Human Proteome Folding Project and folding@home. Folding@home aims to get at how a few proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself. Understanding why protein folding works (and why it doesn't) could have a significant impact in certain diseases like Alzheimer's and Hunntington's Disease, which Folding@Home is actively studying. The Human Proteome Folding Project will predict the structures of large numbers of proteins of UNKNOWN-structure. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff but have very different objectives. For more info on all this stuff see our site: http://www.systemsbiology.org/Default.aspx?pagenam e=humanproteome
I am the lead scientist on the project. The lawyers at my institute read the fine print and EVERYTHING will be public. you are correct in not trusting big companies... but in this case my institute has a contract... so in this case IBM has good intentions. United Devices also has a good history of public rlease of the resullts generated by grid.org. Richard Bonneau Institute for Systems Biology Seattle
There are large differences between the Human Proteome Folding Project and folding@home. Folding@home aims to get at how a few proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself. Understanding why protein folding works (and why it doesn't) could have a significant impact in certain diseases like Alzheimer's and Hunntington's Disease, which Folding@Home is actively studying. The Human Proteome Folding Project will predict the structures of large numbers of proteins of UNKNOWN-structure. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff but have very different objectives. For more info on all this stuff see our site: http://www.systemsbiology.org/Default.aspx?pagenam e=humanproteome
vijay may put up some info distinguishing our projects as well.
the results will be public. everything that runs on the grid will be public domain. when we (ISB) talked with IBM they we're very clear about this (not that we would have it any other way as a non-profit research institute). public
incorrect. there are large differences between the Human Proteome Folding Project and folding@home. DeepStream got it right... Folding@home aims to get at how a few proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself. The project does not focus on generating testable predictions. The Human Proteome Folding Project will predict the structures of proteins of UNKNOWN-structure, lots of them, tons of them. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff, one is for Physics peeps and one is for biologists... For more info on all this stuff see our site (including pictures of proteins): http://www.systemsbiology.org/Default.aspx?pagenam e=humanproteome
Howdy, I'm Rich Bonneau, the scientific lead, on the Human Proteome Folding Project at the Institute for Systems Biology. Ignore everything you've heard so far that you didn't read on the systemsbiology.org website. It turns out it is difficult explaining structure prediction to reporters...
. aspx?pagenam e=humanproteome
... a virtual blind-spot to biomedical researchers).
... talk to big-blue and united devices about that...
There are a lot of questions in different threads so:
How is this different from folding@home:
DeepStream got it right...
Folding@home aims to get at the science of how a small number of proteins of KNOWN structure fold dynamically. Folding@home is a project to further our understanding of the folding process itself.
The Human Proteome Folding Project will predict the structures of proteins of UNKNOWN-structure, lots of them, tons of them. The aim of this project is to get structures and functions for huge numbers of proteins so that biologists and biomedical researchers who run into these mystery proteins in their research can look to our database for functional/mechanistic clues about their favorite mystery-proteins. Both projects are good stuff, one is for Physics peeps and one is for biologists...
For more info on all this stuff see our site (including pictures of proteins):
http://www.systemsbiology.org/Default
Why do we care about proteins of unknown function:
Modern biology is in a state of continual revolution, as technologies that allow us to observe biological systems (ourselves and the organisms we interact with) allow us to sequence genomes faster and cheaper. As new genomes are sequenced we find that many of the genes we sequence are of unknown function (a large fraction of human gene/proteins are of unknown function
One promising approach is to predict or measure the structure of the proteins that genes make and then draw functional inferences/conclusions from the shapes/structures of the proteins. The Human proteome project will focus on this large fraction of proteins in the Human proteome with no know structure or function. Predicting the structure of these proteins gives biologists clues as to what the function of those proteins are, helps us understand the human system, and ultimately helps us fix the human system when it breaks (cure disease).
Lars Malmstroem, David Baker and Leroy Hood are also involved heavily in this project as are Viktors Berstis and Rick Alther at IBM.
Sorry about no linux clients