P
Peter W. Rose
Researcher at University of California, San Diego
Publications - 69
Citations - 6287
Peter W. Rose is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Protein Data Bank & Protein Data Bank (RCSB PDB). The author has an hindex of 28, co-authored 68 publications receiving 5088 citations. Previous affiliations of Peter W. Rose include Pfizer & Torrey Pines Institute for Molecular Studies.
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RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy.
Stephen K. Burley,Helen M. Berman,Charmi Bhikadiya,Chunxiao Bi,Li Chen,Luigi Di Costanzo,Cole H. Christie,Kenneth Dalenberg,Jose M. Duarte,Shuchismita Dutta,Zukang Feng,Sutapa Ghosh,David S. Goodsell,David S. Goodsell,Rachel Kramer Green,Vladimir Guranovic,Dmytro Guzenko,Brian P. Hudson,Tara Kalro,Yu-He Liang,Robert Lowe,Harry Namkoong,Ezra Peisach,Irina Periskova,Andreas Prlić,Christopher Randle,Alexander S. Rose,Peter W. Rose,Raul Sala,Monica Sekharan,Chenghua Shao,Lihua Tan,Yi-Ping Tao,Yana Valasatava,Maria Voigt,John D. Westbrook,Jesse Woo,Huanwang Yang,Jasmine Young,Marina Zhuravleva,Christine Zardecki +40 more
TL;DR: Recent reorganization of RCSB PDB activities into four integrated, interdependent services is described in detail, together with tools and resources added over the past 2 years to RCSb PDB web portals in support of a ‘Structural View of Biology.’
Journal ArticleDOI
The RCSB protein data bank: integrative view of protein, gene and 3D structural information
Peter W. Rose,Andreas Prlić,Ali Altunkaya,Chunxiao Bi,Anthony R. Bradley,Cole H. Christie,Luigi Di Costanzo,Jose M. Duarte,Shuchismita Dutta,Zukang Feng,Rachel Kramer Green,David S. Goodsell,David S. Goodsell,Brian P. Hudson,Tara Kalro,Robert Lowe,Ezra Peisach,Christopher Randle,Alexander S. Rose,Chenghua Shao,Yi Ping Tao,Yana Valasatava,Maria Voigt,John D. Westbrook,Jesse Woo,Huangwang Yang,Jasmine Young,Christine Zardecki,Helen M. Berman,Stephen K. Burley +29 more
TL;DR: Recent developments have improved the User experience, including the high-speed NGL Viewer that provides 3D molecular visualization in any web browser, improved support for data file download and enhanced organization of website pages for query, reporting and individual structure exploration.
Journal ArticleDOI
The RCSB Protein Data Bank: redesigned web site and web services
Peter W. Rose,Bojan Beran,Chunxiao Bi,Wolfgang F. Bluhm,Dimitris Dimitropoulos,David S. Goodsell,Andreas Prlić,Martha Quesada,Gregory B. Quinn,John D. Westbrook,Jasmine Young,Benjamin T. Yukich,Christine Zardecki,Helen M. Berman,Philip E. Bourne +14 more
TL;DR: The next generation of the RCSB PDB web site, as described here, provides a rich resource for research and education and enables a range of new possibilities to analyze and understand structure data.
Journal ArticleDOI
The RCSB Protein Data Bank: views of structural biology for basic and applied research and education
Peter W. Rose,Andreas Prlić,Chunxiao Bi,Wolfgang F. Bluhm,Cole H. Christie,Shuchismita Dutta,Rachel Kramer Green,David S. Goodsell,John D. Westbrook,Jesse Woo,Jasmine Young,Christine Zardecki,Helen M. Berman,Philip E. Bourne,Stephen K. Burley +14 more
TL;DR: Recently introduced data annotations including integration with external biological resources, such as gene and drug databases, new visualization tools and improved support for the mobile web are described.
Journal ArticleDOI
Recon3D enables a three-dimensional view of gene variation in human metabolism.
Elizabeth Brunk,Elizabeth Brunk,Swagatika Sahoo,Daniel C. Zielinski,Ali Altunkaya,Ali Altunkaya,Andreas Dräger,Nathan Mih,Francesco Gatto,Francesco Gatto,Avlant Nilsson,German Andres Preciat Gonzalez,Maike K. Aurich,Andreas Prlić,Anand V. Sastry,Anna Dröfn Daníelsdóttir,Almut Heinken,Alberto Noronha,Peter W. Rose,Stephen K. Burley,Stephen K. Burley,Ronan M. T. Fleming,Ronan M. T. Fleming,Jens Nielsen,Jens Nielsen,Ines Thiele,Bernhard O. Palsson,Bernhard O. Palsson +27 more
TL;DR: Recon3D is presented, a computational resource that includes three-dimensional metabolite and protein structure data and enables integrated analyses of metabolic functions in humans and is used to functionally characterize mutations associated with disease, and identify metabolic response signatures that are caused by exposure to certain drugs.