A
Attila Gursoy
Researcher at Koç University
Publications - 145
Citations - 9726
Attila Gursoy is an academic researcher from Koç University. The author has contributed to research in topics: Protein–protein interaction & Protein structure. The author has an hindex of 41, co-authored 141 publications receiving 8683 citations. Previous affiliations of Attila Gursoy include University of Illinois at Urbana–Champaign & Bilkent University.
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Journal ArticleDOI
NAMD2: Greater Scalability for Parallel Molecular Dynamics
Laxmikant V. Kale,Robert D. Skeel,Milind Bhandarkar,Robert Brunner,Attila Gursoy,Neal Krawetz,James C. Phillips,Aritomo Shinozaki,Krishnan Varadarajan,Klaus Schulten +9 more
TL;DR: The NAMD2 program is presented, which uses spatial decomposition combined with force decomposition to enhance scalability and modularly organized, and implemented using Charm++, a parallel C++ dialect, so as to enhance its modifiability.
Journal ArticleDOI
Principles of Protein−Protein Interactions: What are the Preferred Ways For Proteins To Interact?
TL;DR: This work aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about the response of the immune system to EMTs.
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NAMD: a Parallel, Object-Oriented Molecular Dynamics Program
Mark T. Nelson,William Humphrey,Attila Gursoy,Andrew Dalke,Laxmikant V. Kale,Robert D. Skeel,Klaus Schulten +6 more
TL;DR: NAMD is a molecular dynamics program designed for high performance simulations of large biomolecular systems on parallel computers that uses spatial decom position coupled with a multithreaded, message-driven design, which is shown to scale efficiently to multiple processors.
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Ras Conformational Ensembles, Allostery, and Signaling.
Shaoyong Lu,Shaoyong Lu,Hyunbum Jang,Serena Muratcioglu,Attila Gursoy,Ozlem Keskin,Ruth Nussinov,Ruth Nussinov,Jian Zhang +8 more
TL;DR: This review focuses on data that have accumulated over the past few years pertaining to the conformational ensembles and the allosteric regulation of Ras proteins and their interpretation from a conformational landscape standpoint.
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Predicting Protein-Protein Interactions from the Molecular to the Proteome Level
TL;DR: This review aims to provide a background on PPIs and their types and list the state-of-the-art methods, servers, databases, and tools for protein-protein interaction prediction.