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Scott J. Lusher

Researcher at Merck & Co.

Publications -  18
Citations -  8190

Scott J. Lusher is an academic researcher from Merck & Co.. The author has contributed to research in topics: Androgen receptor & Nuclear receptor. The author has an hindex of 11, co-authored 18 publications receiving 5184 citations. Previous affiliations of Scott J. Lusher include Radboud University Nijmegen & Schering-Plough.

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The FAIR Guiding Principles for scientific data management and stewardship

TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
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Addendum: The FAIR Guiding Principles for scientific data management and stewardship

TL;DR: The FAIR Data Principles as discussed by the authors are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
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Data-driven medicinal chemistry in the era of big data

TL;DR: Data-driven medicinal chemistry approaches have the potential to improve decision making in drug discovery projects, providing that all researchers embrace the role of 'data scientist' and uncover the meaningful relationships and patterns in available data.
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Systematic Structure-Function Analysis of Androgen Receptor Leu701 Mutants Explains the Properties of the Prostate Cancer Mutant L701H

TL;DR: The results indicate that the specific amino acid residue at position 701, its interaction with the backbone of Ser778, and the steroidal 17α-hydroxyl group of the ligand are all important for the distinct transcriptional responses to progesterone and cortisol of AR mutants, including the prostate cancer mutant L701H.
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Structural Basis for Agonism and Antagonism for a Set of Chemically Related Progesterone Receptor Modulators

TL;DR: Two new progesterone receptor ligand binding domain x-ray structures bound to compounds from a structurally related but functionally divergent series, which show different binding modes corresponding to their agonistic or antagonistic nature.