Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ulka Gawde"'
Publikováno v:
Reproductive Medicine, Vol 3, Iss 3, Pp 235-245 (2022)
Background: Infertility is a common condition affecting approximately 10–20% of the reproductive age population. Idiopathic infertility cases are thought to have a genetic basis, but the underlying causes are largely unknown. However, the genetic b
Externí odkaz:
https://doaj.org/article/24af5cc492f141d9afe36511c80c9636
Publikováno v:
BMC Public Health, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Machine learning (ML) algorithms have been successfully employed for prediction of outcomes in clinical research. In this study, we have explored the application of ML-based algorithms to predict cause of death (CoD) from verbal a
Externí odkaz:
https://doaj.org/article/426b9cd8c34a41be8bd239aa450c5fcb
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 1735-1745 (2020)
Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise. A systematic and compara
Externí odkaz:
https://doaj.org/article/73ac4ec29772441d942e863c4ab50800
Autor:
Ulka Gawde, Shuvechha Chakraborty, Faiza Hanif Waghu, Ram Shankar Barai, Ashlesha Khanderkar, Rishikesh Indraguru, Tanmay Shirsat, Susan Idicula-Thomas
Publikováno v:
Nucleic Acids Research. 51:D377-D383
There has been an exponential increase in the design of synthetic antimicrobial peptides (AMPs) for its use as novel antibiotics. Synthetic AMPs are substantially enriched in residues with physicochemical properties known to be critical for antimicro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77baa1a49128d4c77c4fbbbb4f6524ff
https://doi.org/10.1093/nar/gkac933
https://doi.org/10.1093/nar/gkac933
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1735-1745 (2020)
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1735-1745 (2020)
Graphical abstract
Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise.
Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25c3f9d4e5fa19239d2e17ba964d703
http://europepmc.org/articles/PMC7352056
http://europepmc.org/articles/PMC7352056
Autor:
Ulka Gawde, Priyanka Hegde, Karishma Desai, Ram Shankar Barai, Bipin Raj Shekhar, Dhanjit K. Das, Susan Idicula-Thomas
Publikováno v:
Schizophrenia research. 243
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::667e34fc24bf3a20fbf61e7066efd8dc
https://pubmed.ncbi.nlm.nih.gov/35461043
https://pubmed.ncbi.nlm.nih.gov/35461043
Publikováno v:
Computational Toxicology. 24:100240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcbe00c6418a34154f1029435d332e25
https://doi.org/10.1016/j.comtox.2022.100240
https://doi.org/10.1016/j.comtox.2022.100240
A QSAR modeling approach for predicting myeloid antimicrobial peptides with high sequence similarity
Autor:
Ulka Gawde, Evans C. Coutinho, Anish Narasimhan Gomatam, Faiza Hanif Waghu, Susan Idicula-Thomas
Publikováno v:
Chemical biologydrug designREFERENCES. 96(6)
Microbial resistance to conventional antibiotics has led to a surge in antimicrobial peptide (AMP) rational design initiatives that rely heavily on algorithms with good prediction accuracy and sensitivity. We present a quantitative structure-activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e1bd28a8eb6257d7de5c8e505cec98a
https://pubmed.ncbi.nlm.nih.gov/32569448
https://pubmed.ncbi.nlm.nih.gov/32569448