Institution
Purdue University
Education•West Lafayette, Indiana, United States•
About: Purdue University is a education organization based out in West Lafayette, Indiana, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 73219 authors who have published 163563 publications receiving 5775236 citations. The organization is also known as: Purdue & Purdue-West Lafayette.
Papers published on a yearly basis
Papers
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Indiana University1, Buck Institute for Research on Aging2, University of California, San Francisco3, Colorado State University4, University of California, Santa Cruz5, University of Colorado Denver6, University of California, Berkeley7, Icahn School of Medicine at Mount Sinai8, European Bioinformatics Institute9, University of Bologna10, University of Missouri11, University of Bristol12, University of Helsinki13, University College London14, Centre for Development of Advanced Computing15, Purdue University16, Baylor College of Medicine17, Royal Holloway, University of London18, Technische Universität München19, University of Turku20, Queen's University21, University UCINF22, Max Planck Society23, Imperial College London24, Nestlé25, Wageningen University and Research Centre26, Fudan University27, University of Padua28, Temple University29, Swiss Institute of Bioinformatics30, University of Geneva31, Hebrew University of Jerusalem32, Miami University33
TL;DR: Today's best protein function prediction algorithms substantially outperform widely used first-generation methods, with large gains on all types of targets, and there is considerable need for improvement of currently available tools.
Abstract: Automated annotation of protein function is challenging. As the number of sequenced genomes rapidly grows, the overwhelming majority of protein products can only be annotated computationally. If computational predictions are to be relied upon, it is crucial that the accuracy of these methods be high. Here we report the results from the first large-scale community-based critical assessment of protein function annotation (CAFA) experiment. Fifty-four methods representing the state of the art for protein function prediction were evaluated on a target set of 866 proteins from 11 organisms. Two findings stand out: (i) today's best protein function prediction algorithms substantially outperform widely used first-generation methods, with large gains on all types of targets; and (ii) although the top methods perform well enough to guide experiments, there is considerable need for improvement of currently available tools.
859 citations
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TL;DR: In this paper, the authors investigate fracture coalescence in gypsum specimens under uniaxial and biaaxial compression and show that cracks start at the flaw tip and propagate out of plane as either tensile or shear cracks.
858 citations
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UNICEF1, University of Toronto2, Harvard University3, Yale University4, University of Hong Kong5, Li Ka Shing Faculty of Medicine, University of Hong Kong6, University of California, Berkeley7, McMaster University8, University of Southampton9, Purdue University10, Columbia University11, New York University12, University of Missouri–St. Louis13, Aga Khan University14
TL;DR: In this paper, the authors provide a comprehensive updated analysis of early childhood development interventions across the five sectors of health, nutrition, education, child protection, and social protection, concluding that to make interventions successful, smart, and sustainable, they need to be implemented as multi-sectoral intervention packages anchored in nurturing care.
858 citations
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TL;DR: The data demonstrate clearly that it is possible to design and self-assemble a well-ordered macromolecular 3D crystalline lattice with precise control.
Abstract: We live in a macroscopic three-dimensional (3D) world, but our best description of the structure of matter is at the atomic and molecular scale. Understanding the relationship between the two scales requires a bridge from the molecular world to the macroscopic world. Connecting these two domains with atomic precision is a central goal of the natural sciences, but it requires high spatial control of the 3D structure of matter. The simplest practical route to producing precisely designed 3D macroscopic objects is to form a crystalline arrangement by self-assembly, because such a periodic array has only conceptually simple requirements: a motif that has a robust 3D structure, dominant affinity interactions between parts of the motif when it self-associates, and predictable structures for these affinity interactions. Fulfilling these three criteria to produce a 3D periodic system is not easy, but should readily be achieved with well-structured branched DNA motifs tailed by sticky ends. Complementary sticky ends associate with each other preferentially and assume the well-known B-DNA structure when they do so; the helically repeating nature of DNA facilitates the construction of a periodic array. It is essential that the directions of propagation associated with the sticky ends do not share the same plane, but extend to form a 3D arrangement of matter. Here we report the crystal structure at 4 A resolution of a designed, self-assembled, 3D crystal based on the DNA tensegrity triangle. The data demonstrate clearly that it is possible to design and self-assemble a well-ordered macromolecular 3D crystalline lattice with precise control.
857 citations
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TL;DR: The occurrence of larger continuous folds (“super-secondary structures”) has been detected in the comparison of lactate dehydrogenase with itself and with other protein structures.
857 citations
Authors
Showing all 73693 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Cui | 220 | 1015 | 199725 |
Yi Chen | 217 | 4342 | 293080 |
David Miller | 203 | 2573 | 204840 |
Hongjie Dai | 197 | 570 | 182579 |
Chris Sander | 178 | 713 | 233287 |
Richard A. Gibbs | 172 | 889 | 249708 |
Richard H. Friend | 169 | 1182 | 140032 |
Charles M. Lieber | 165 | 521 | 132811 |
Jian-Kang Zhu | 161 | 550 | 105551 |
David W. Johnson | 160 | 2714 | 140778 |
Robert Stone | 160 | 1756 | 167901 |
Tobin J. Marks | 159 | 1621 | 111604 |
Joseph Wang | 158 | 1282 | 98799 |
Ed Diener | 153 | 401 | 186491 |
Wei Zheng | 151 | 1929 | 120209 |