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Darwin Y. Fu

Researcher at Vanderbilt University Medical Center

Publications -  15
Citations -  846

Darwin Y. Fu is an academic researcher from Vanderbilt University Medical Center. The author has contributed to research in topics: Docking (molecular) & Logistic regression. The author has an hindex of 8, co-authored 15 publications receiving 439 citations. Previous affiliations of Darwin Y. Fu include Vanderbilt University.

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Macromolecular modeling and design in Rosetta: recent methods and frameworks

Julia Koehler Leman, +117 more
- 01 Jul 2020 - 
TL;DR: This Perspective reviews tools developed over the past five years in the Rosetta software, including over 80 methods, and discusses improvements to the score function, user interfaces and usability.
Journal ArticleDOI

Protocols for Molecular Modeling with Rosetta3 and RosettaScripts

TL;DR: An overview of the Rosetta suite of biomacromolecular modeling software and a series of step-by-step tutorials that feature de novo folding, comparative modeling, loop construction, protein docking, small molecule docking, and protein design are shared.
Journal ArticleDOI

Meta-Research: Releasing a preprint is associated with more attention and citations for the peer-reviewed article

TL;DR: It is found that articles with a preprints had, on average, a 49% higher Altmetric Attention Score and 36% more citations than articles without a preprint.
Posted ContentDOI

Releasing a preprint is associated with more attention and citations for the peer-reviewed article

TL;DR: In this paper, the authors examined whether having a preprint on bioRxiv was associated with metrics of the corresponding peer-reviewed article and found that articles with preprint had a 51% higher Altmetric Attention Score and 37% more citations compared to articles without one.
Posted ContentDOI

Releasing a preprint is associated with more attention and citations

TL;DR: It is found that articles with a preprint had a 51% higher Altmetric Attention Score and 37% more citations compared to articles without one and this observational study can help researchers and publishers make informed decisions about how to incorporate preprints into their work.