Index Catalog // ScholarsArchive@OSU

Creator:: Adams, Paul D., Aertgeerts, Kathleen, Bauer, Cary, Bell, Jeffrey A., Berman, Helen M., Bhat, Talapady N., Blaney, Jeff M., Bolton, Evan, Bricogne, Gerard, Brown, David, Burley, Stephen K., Case, David A., Clark, Kirk L., Darden, Tom, Emsley, Paul, Feher, Victoria A., Feng, Zukang, Groom, Colin R., Harris, Seth F., Hendle, Jorg, Holder, Thomas, Joachimiak, Andrzej, Kleywegt, Gerard J., Krojer, Tobias, Marcotrigiano, Joseph, Mark, Alan E., Markley, John L., Miller, Matthew, Minor, Wladek, Montelione, Gaetano T., Murshudov, Garib, Nakagawa, Atsushi, Nakamura, Haruki, Nicholls, Anthony, Nicklaus, Marc, Nolte, Robert T., Padyana, Anil K., Peishoff, Catherine E., Pieniazek, Susan, Read, Randy J., Shao, Chenghua, Sheriff, Steven, Smart, Oliver, Soisson, Stephen, Spurlino, John, Stouch, Terry, Svobodova, Radka, Tempel, Wolfram, Terwilliger, Thomas C., Tronrud, Dale, Velankar, Sameer, Ward, Suzanna C., Warren, Gregory L., Westbrook, John D., Williams, Pamela, Yang, Huanwang, and Young, Jasmine
Abstract:: Crystallographic studies of ligands bound to biological macromolecules (proteins and nucleic acids) represent an important source of information concerning drug-target interactions, providing atomic level insights into the physical chemistry of complex formation between macromolecules and ligands. Of the more than 115,000 entries extant in the Protein Data Bank (PDB) archive,...
Resource Type:: Article

Creator:: Nguyen-Huu, Duong
Abstract:: In this work, we study network coding technique, its relation to random matrices, and their applications to communication systems. The dissertation consists of three main contributions. First, we propose efficient algorithms for data synchronization via a broadcast channel using random network coding. Second, we study the resiliency of network coding...
Resource Type:: Dissertation

Creator:: Danaee, Padideh
Abstract:: Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
Resource Type:: Dissertation

ScholarsArchive@OSU