MDBF Webinarları – Dr. Öğr. Üyesi Dina Schneidman-Duhovny

Mühendislik ve Doğa Bilimleri Fakültemizin düzenlediği webinar serisi kapsamında 10 Mayıs Salı saat 17.00’de The Hebrew University of Jerusalem’den Dr. Öğr. Üyesi Dina Schneidman-Duhovny, “Integrative Structure Modeling in the Age of Deep Learning” başlıklı bir sunum yapacak.

Zoom üzerinden gerçekleşecek etkinlik ilgilenen herkesin katılımına açıktır. 

Özet: Integrative structure modeling is often used to characterize structures and dynamics of large macromolecular assemblies by relying on multiple types of input information. The individual proteins or domains are represented by atomic resolution structures or low-resolution sphere models and data from a variety of sources, such as cross-linking mass spectrometry, cryo-Electron Microscopy, Small Angle x-ray scattering is used to assemble the subunits. Recent progress in protein folding enabled by deep learning by AlphaFold2 and RosettaFold provided an improved structural coverage for domains, and even protein-protein interactions used in Integrative Structure Modeling. However, these methods depend on multiple sequence alignment, that is not available for immune response complexes, such as antibody-antigen interactions. Recently, we began utilizing deep learning approaches for a range of integrative modeling tasks, including development of scoring functions for prediction of protein-protein or protein-peptide interactions, modeling and docking of antibodies and nanobodies to the antigens, binding sites identification, and learning scoring functions for experimental data. I will describe the progress and current challenges in deep learning applications for modeling of complexes. 

Konuşmacı Hakkında: Dina received her BSc degree in Mathematics and Computer Science from Tel Aviv University in 1998. She received her MSc in 2003 and PhD in 2008 under supervision of Profs. Haim Wolfson and Ruth Nussinov at Tel Aviv University developing methods for structural modeling of protein-protein interactions. During post-doctoral research in Andrej Sali lab at the University of California, San Francisco, she developed and applied computational methods for Integrative Structure Determination. Since 2016, Dina is an assistant professor in the Computer Science and Engineering School at the Hebrew University of Jerusalem. Dina Schneidman’s interdisciplinary research focuses on development and application of computational methods for modeling structure and dynamics of macromolecular assemblies. Her group develops methods that integrate information from diverse experimental sources, as well as known sequences and structures.