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Andrej Sali

Researcher at University of California, San Francisco

Publications -  457
Citations -  83739

Andrej Sali is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Protein structure & Protein structure prediction. The author has an hindex of 119, co-authored 430 publications receiving 74984 citations. Previous affiliations of Andrej Sali include University of California, Berkeley & California Institute for Quantitative Biosciences.

Papers
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Comparative Protein Modelling by Satisfaction of Spatial Restraints

TL;DR: A comparative protein modelling method designed to find the most probable structure for a sequence given its alignment with related structures, which is automated and illustrated by the modelling of trypsin from two other serine proteinases.
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Comparative Protein Structure Modeling Using MODELLER

TL;DR: This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications.
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A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.

David E. Gordon, +128 more
- 30 Apr 2020 - 
TL;DR: A human–SARS-CoV-2 protein interaction map highlights cellular processes that are hijacked by the virus and that can be targeted by existing drugs, including inhibitors of mRNA translation and predicted regulators of the sigma receptors.
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Comparative protein structure modeling of genes and genomes

TL;DR: There is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes and to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.
Journal ArticleDOI

Comparative protein structure modeling using Modeller.

TL;DR: This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications.