Function SIG Meetings:

Function-SIG 2022 will be held on Monday July 11 2022 as part of ISMB 2022 in Madison, Wisconsin USA and online.

Accepting 2022 abstract submissions

Important Dates:

   
   
   
   
   
   
 July 11, 2021 Function SIG meeting at ISMB 2022

 

Function-SIG 2021 Keynote Speakers

Lukasz Kurgan
Professor, Virginia Commonwealth University
Richmond, Virginia, USA
Speaker Bio: Dr. Kurgan is the Endowed Professor of Computer Science at the Virginia Commonwealth University. His research interests include development and applications of bioinformatics methods and resources for the analysis of sequences and functions of proteins. He serves as the Associate Editor-in-Chief of Biomolecules, Associate Editor of Bioinformatics, and editor of several other journals and conferences. More details can be found on the website of his lab and on his Google Scholar profile.

Talk Abstract: Over the years, intrinsic disorder was shown to play key roles in a wide spectrum of cellular functions and processes such as cell signaling, cellular differentiation, translation, transcription and intracellular phase transitions, to name just a few. Many of the highly recognized studies, such as gene regulation (1965 Nobel prize), autophagy (2016 Nobel prize), circadian rhythms (2017 Nobel prize), and phage display (2018 Nobel prize) concern protein functions that critically depend on the disorder, even though that might not have been known at the time. The disorder is intrinsically encoded in the protein sequence, motivating the development of computational sequence-based predictors of disorder. There are over 100 disorder predictors and several dozen additional methods that predict a variety of functional flavors of disorder. We will introduce and discuss modern disorder and disorder function predictors, primarily relying on the context of the recently completed Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment. We will also examine other types of related resources, including disorder databases and predictive servers. 

Talks are sought in, but not limited to, the following topics:

  • Prediction of protein function from varied data such as sequence, structure, expression data
  • The evolution of function
  • The design of function
  • Incorporating computational function prediction into experimental workflows
  • The use of text mining and natural language processing in function prediction
  • The use of machine learning in protein function prediction
  • The representation of biological function by ontologies and other means
  • Data science as applied to protein function datasets
  • Research related to the Critical Assessment of Function Annotation (CAFA)

Programs from previous years

The Function-SIG meeting is funded by the International Society for Computational Biology
In the past, the Function-SIG meetings were funded, in part, by DBI-1458359 and DBI-1458477 from the US National Science Foundation. R13 HG006079 and R13 HG007807 from the US National Institute of Health, as well as US Department of Energy grant DE-SC0006807TDD.