Function SIG Meetings:
Function-SIG 2019 will be held on Monday, July 22, 2019 as part of ISMB/ECCB 2019 in Basel, Switzerland.
Accepting 2019 abstract submissions
|Thursday, January 31, 2019||Call for Abstracts Opens (for talks and posters)|
|Thursday, April 11, 2019||Abstracts Submission Deadline (for talks and posters)|
|Monday, April 15, 2019||Late Poster Submissions Open|
|Monday, May 6, 2019||Late Poster Submissions Deadline|
|Thursday, May 9, 2019||Talk and/or Poster Acceptance Notifications|
|Thursday, May 23, 2019||Late Poster Acceptance Notifications|
|Monday, July 22, 2019||Function SIG meeting at ISMB 2019|
Function-SIG 2019 Keynote Speaker
Google AI Research and Cambridge University
Title: Using evolutionary sequence variation to build predictive models of protein structure and function.
Abstract: The evolutionary trajectory of a protein through sequence space is constrained by its function. A central challenge across the biological sciences is to predict the functional properties of a protein from its sequence, and thus (i) discover new proteins with specific required functionality and (ii) better understand the functional effect of changes within protein coding genes. The explosive growth in the number of available protein sequences raises the possibility of using the natural variation present in homologous protein sequences to infer these constraints and thus identify residues that control different protein phenotypes. Because in many cases phenotypic changes are controlled by more than one amino acid, the mutations that separate one phenotype from another may not be independent, requiring us to build models that take into account the correlation structure of the data. Models that have this feature are capable of (i) inference of residue pair interactions accurate enough to predict all atom 3D structural models; and predictions of (ii) binding interactions between different proteins and (iii) accurate annotation of sequence domains as far as 80% distinct from the training set.
Speaker Bio: Lucy Colwell is a lecturer in the Chemistry department at Cambridge University, and a Research Scientist at Google Applied Science. She completed her PhD in applied mathematics at Harvard University and spent time as a member of the systems biology group at the Institute for Advanced Study in Princeton NJ before taking up her faculty position at Cambridge. Her research focuses on using large datasets to build predictive models in chemistry and biochemistry.
Talks are sought in, but not limited to, the following topics:
- Sequence, structure, function connection in proteins
- Prediction of protein function
- Evolution of function
- Assessment of function prediction methods
- Research related to the Critical Assessment of Function Annotation, or CAFA challenge
Programs from previous years
- AFP 2018, Chigaco, IL webpage
- AFP 2017, Prague, Czech Republic webpage
- AFP 2016, Orlando, FL
- AFP 2015, Dublin, Ireland
- AFP 2014, Boston, MA
- AFP 2013, Berlin, Germany
- AFP 2012, Long Beach, CA
- AFP 2011, Vienna, Austria
- AFP 2008, Toronto, ON, Canada
- AFP 2007, Vienna, Austria
- AFP 2006, La Jolla, CA
- AFP 2005, Detroit, MI
The Function-SIG meeting is funded, in part, by awards DBI-1458359 and DBI-1458477 from the US National Science Foundation.
In the past, the Function-SIG meetings were funded, in part, by R13 HG006079 and R13 HG007807 from the US National Institute of Health, as well as US Department of Energy grant DE-SC0006807TDD.