Proteomics based drug repositioning applied to improve in vitro fertilization implantation: an artificial intelligence model-Reference-Cited by-同舟云学术

Proteomics based drug repositioning applied to improve in vitro fertilization implantation: an artificial intelligence model

Published:2021-06-14 Issue:4 Volume:67 Page:281-297
ISSN:1939-6368
Container-title:Systems Biology in Reproductive Medicine
language:en
Short-container-title:Systems Biology in Reproductive Medicine

Author:

Matorras Roberto¹²,Valls Raquel³,Azkargorta Mikel⁴,Burgos Jorge⁵,Rabanal Aintzane¹,Elortza Felix⁴,Mas Jose Manuel³,Sardon Teresa³^ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, University of the Basque Country, Bilbao, Spain

2. IVIRMA Bilbao, Bilbao, Spain

3. Anaxomics Biotech S.L., Barcelona, Spain

4. Proteomics Platform, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain

5. Biocruces Bizkaia Health Research Institute. Osakidetza. Cruces University Hospital, University of the Basque Country, Bilbao, Spain

Funder

Merck

Publisher

Informa UK Limited

Subject

Urology,Reproductive Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/19396368.2021.1928792

Reference87 articles.

1. Heparin for assisted reproduction

2. Tumor Necrosis Factor-Alpha and Pregnancy: Focus on Biologics. An Updated and Comprehensive Review

3. Low follicular fluid IL-6 levels in IVF patients are associated with increased likelihood of clinical pregnancy

4. In-depth proteomics and natural peptidomics analyses reveal antibacterial peptides in human endometrial fluid

5. Differential proteomic analysis of endometrial fluid suggests increased inflammation and impaired glucose metabolism in non-implantative IVF cycles and pinpoints PYGB as a putative implantation marker

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