How to Computationally Stack the Deck for Hit-to-Lead Generation: In Silico Molecular Interaction Energy Profiling for de Novo siRNA Guide Strand Surrogate Selection-Reference-Cited by-同舟云学术

How to Computationally Stack the Deck for Hit-to-Lead Generation: In Silico Molecular Interaction Energy Profiling for de Novo siRNA Guide Strand Surrogate Selection

Published:2019-04-25 Issue:5 Volume:59 Page:1897-1908
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Greenidge Paulette A.¹²^ORCID,Blommers Marcel J. J.¹³,Priestle John P.¹,Hunziker Jürg¹

Affiliation:

1. Novartis Institutes for BioMedical Research (NIBR), Novartis Pharma AG, Forum 1, Novartis Campus, Fabrikstrasse 2, CH-4056 Basel, Switzerland

2. Sprint Bioscience AB, Hälsovägen 7, SE-141 57 Huddinge, Sweden

3. Saverna Therapeutics AG, Pumpmattenweg 3, CH-4105 Biel-Benken, Switzerland

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.8b00892

Reference51 articles.

1. Knocking down disease: a progress report on siRNA therapeutics

2. siRNA and RNAi optimization

3. Therapeutic potential of chemically modified siRNA: Recent trends

4. FDA-Approved Oligonucleotide Therapies in 2017

5. Killing the messenger: short RNAs that silence gene expression

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