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PFRED: A computational platform for siRNA and antisense oligonucleotides design.
Sciabola, Simone; Xi, Hualin; Cruz, Dario; Cao, Qing; Lawrence, Christine; Zhang, Tianhong; Rotstein, Sergio; Hughes, Jason D; Caffrey, Daniel R; Stanton, Robert V.
Afiliação
  • Sciabola S; Medicinal Chemistry, Biogen, Cambridge, MA, United States of America.
  • Xi H; Rgenta, Cambridge, MA, United States of America.
  • Cruz D; Medicinal Chemistry, Biogen, Cambridge, MA, United States of America.
  • Cao Q; Chemical Engineering, Northeastern University, Boston, MA, United States of America.
  • Lawrence C; Medicinal Chemistry, Ra Pharmaceuticals, Cambridge, MA, United States of America.
  • Zhang T; Business Technology, Pfizer, Cambridge, MA, United States of America.
  • Rotstein S; Business Technology, Pfizer, Cambridge, MA, United States of America.
  • Hughes JD; Business Technology, Pfizer, Cambridge, MA, United States of America.
  • Caffrey DR; Computational Biology, Foundation Medicine, Cambridge, MA, United States of America.
  • Stanton RV; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States of America.
PLoS One ; 16(1): e0238753, 2021.
Article em En | MEDLINE | ID: mdl-33481821
ABSTRACT
PFRED a software application for the design, analysis, and visualization of antisense oligonucleotides and siRNA is described. The software provides an intuitive user-interface for scientists to design a library of siRNA or antisense oligonucleotides that target a specific gene of interest. Moreover, the tool facilitates the incorporation of various design criteria that have been shown to be important for stability and potency. PFRED has been made available as an open-source project so the code can be easily modified to address the future needs of the oligonucleotide research community. A compiled version is available for downloading at https//github.com/pfred/pfred-gui/releases/tag/v1.0 as a java Jar file. The source code and the links for downloading the precompiled version can be found at https//github.com/pfred.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligonucleotídeos Antissenso / Primers do DNA / Biologia Computacional Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligonucleotídeos Antissenso / Primers do DNA / Biologia Computacional Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos