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Samuel L. DeLuca
Researcher at Vanderbilt University
Publications - 11
Citations - 997
Samuel L. DeLuca is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Protein design & Peptide sequence. The author has an hindex of 7, co-authored 11 publications receiving 901 citations. Previous affiliations of Samuel L. DeLuca include Rensselaer Polytechnic Institute & Vanderbilt University Medical Center.
Papers
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Journal ArticleDOI
Practically Useful: What the Rosetta Protein Modeling Suite Can Do for You
TL;DR: The objective of this review is to enable researchers to use the software package Rosetta for biochemical and biomedicinal studies and provide a tutorial that illustrates a basic Rosetta protocol.
Patent
System and method for securing an enterprise computing environment
Gil Zimmerman,Ron Zalkind,Tshay Shapsa,Timothy R. Wall,Samuel L. DeLuca,Ori Keren,Peter C. Spellward,Jennifer Sand,Yishai Beeri,Howard Snart,Dan Lines +10 more
TL;DR: In this paper, the authors present a cloud security fabric that has enterprise APIs for connecting to the information technology infrastructure of an enterprise, developer APIs for enabling developers to access capabilities of the fabric and connector APIs by which the fabric may discover information about entities relevant to information security of the enterprise (such as events involving users, applications, and data of the enterprises occurring on a plurality of cloud-enabled platforms, including PaaS/IaaS platforms).
Journal ArticleDOI
Small-molecule ligand docking into comparative models with Rosetta
Steven Combs,Samuel L. DeLuca,Stephanie H. DeLuca,Gordon Lemmon,D.P. Nannemann,Elizabeth Dong Nguyen,Jordan R. Willis,Jonathan H. Sheehan,Jens Meiler +8 more
TL;DR: This paper describes a comprehensive and detailed protocol using the Rosetta modeling suite to dock small-molecule ligands into comparative models and presents a strategy for assessing model quality.
Journal ArticleDOI
Human Germline Antibody Gene Segments Encode Polyspecific Antibodies
Jordan R. Willis,Jordan R. Willis,Bryan Briney,Samuel L. DeLuca,Samuel L. DeLuca,James E. Crowe,Jens Meiler +6 more
TL;DR: It is demonstrated that the Rosetta computational design algorithm captures important aspects of antibody/antigen recognition, including key positions in the VH gene encoding CDR1, CDR2, and the immunoglobulin framework that are critical contributors for polyspecificity in germline antibodies.
Journal ArticleDOI
Fully Flexible Docking of Medium Sized Ligand Libraries with RosettaLigand
TL;DR: Improved initial placement of the ligand is critical for successful prediction of an accurate binding position in the ‘high-resolution’ full atom refinement step, making RosettaLigand appropriate for docking medium sized ligand libraries.