Dear Colleagues, The submission deadline for our NeurIPS 2020 Workshop, Machine Learning for Structural Biology (MLSB) will be October 02, 2020. Could you please forward the attached CfP to any mailing lists or people who would be interested?
Best, The MLSB Organizing Team mlsb.io <http://mlsb.io/> Machine Learning in Structural Biology (MLSB), December 11-12th, 2020. Spurred on by recent advances in neural modeling and wet-lab methods, structural biology, the study of the three-dimensional (3D) atomic structure of proteins and other macromolecules, has emerged as an area of great promise for machine learning. The shape of macromolecules is intrinsically linked to their biological function (e.g., much like the shape of a bike is critical to its transportation purposes), and thus machine learning algorithms that can better predict and reason about these shapes promise to unlock new scientific discoveries in human health as well as increase our ability to design novel medicines. Moreover, fundamental challenges in structural biology motivate the development of new learning systems that can more effectively capture physical inductive biases, respect natural symmetries, and generalize across atomic systems of varying sizes and granularities. Through the Machine Learning in Structural Biology workshop, we aim to include a diverse range of participants and spark a conversation on the required representations and learning algorithms for atomic systems, as well as dive deeply into how to integrate these with novel wet-lab capabilities. Invited Speakers: Michael Levitt - Keynote (Stanford University, Nobel Prize in Chemistry 2013) David Baker - Keynote (Institute for Protein Design, University of Washington) Mohammad AlQuraishi (Columbia University) Charlotte Deane (Oxford University) Debora Marks (Harvard Medical School) Frank Noe (Freie Universität Berlin) Chaok Seok (Seoul National University) Andrea Thorn (Würzburg University) Call For Papers (Website: mlsb.io <https://mlsb.io/>) We welcome submissions of short papers leveraging machine learning to address problems in structural biology, including but not limited to: Structure prediction Protein and RNA design Experimental determination of structure Interaction prediction Conformational change and ensemble prediction Molecular dynamics with learned samplers or potential functions Function or property prediction Structural systems biology Model systems, such as lattice proteins or other toy ensembles Learning representations of structure We request anonymized PDF submissions by Friday, October 2nd, 2020, 11:59PM in the timezone of your choice through our submission website. We will post the link at the workshop website, mlsb.io <http://mlsb.io/>, within 2 weeks of the submission deadline. Submissions should be 4-9 pages in PDF format and fully anonymized as per the requirements of NeurIPS. We request use of the NeurIPS style files. A maximum of 9 pages excluding references and appendices will be considered. The review process will be double-blind. Accepted papers will be invited to present a poster at the virtual workshop, with nominations of spotlight talks at the discretion of the organizers. This workshop is considered non-archival and does not publish proceedings, however authors of accepted contributions will have the option to make their work available through the workshop website. Presentation of work that is concurrently in submission is welcome. Important dates: Friday, October 02, 2020: Submission deadline at 11:59PM Anywhere on Earth Friday, October 23, 2020: Notification of Acceptance Registration: Register here <https://forms.gle/8jqTjgHVSSczCJL18> to get on our mailing list!
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