Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Pedro J. Ballester"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Poly ADP-ribose polymerase 1 (PARP1) is an attractive therapeutic target for cancer treatment. Machine-learning scoring functions constitute a promising approach to discovering novel PARP1 inhibitors. Cutting-edge PARP1-specific machine-lear
Externí odkaz:
https://doaj.org/article/a02fc69f5f844477a791bb844350e043
Publikováno v:
Health Data Science, Vol 4 (2024)
Background: Gemcitabine is a first-line chemotherapy for pancreatic adenocarcinoma (PAAD), but many PAAD patients do not respond to gemcitabine-containing treatments. Being able to predict such nonresponders would hence permit the undelayed administr
Externí odkaz:
https://doaj.org/article/d41587731ca34dd6b72ce2100512e5f5
Publikováno v:
Current Research in Structural Biology, Vol 4, Iss , Pp 206-210 (2022)
The interaction between PD1 and its ligand PDL1 has been shown to render tumor cells resistant to apoptosis and promote tumor progression. An innovative mechanism to inhibit the PD1/PDL1 interaction is PDL1 dimerization induced by small-molecule PDL1
Externí odkaz:
https://doaj.org/article/c2188ab0cefc4892bbc48d0f3e49eaf5
Autor:
Adeolu Z. Ogunleye, Chayanit Piyawajanusorn, Anthony Gonçalves, Ghita Ghislat, Pedro J. Ballester
Publikováno v:
Advanced Science, Vol 9, Iss 24, Pp n/a-n/a (2022)
Abstract Doxorubicin is a common treatment for breast cancer. However, not all patients respond to this drug, which sometimes causes life‐threatening side effects. Accurately anticipating doxorubicin‐resistant patients would therefore permit to s
Externí odkaz:
https://doaj.org/article/23bededaf5204aaf9bc65e9fb73c41aa
Publikováno v:
Biomolecules, Vol 13, Iss 3, p 498 (2023)
Machine learning-based models have been widely used in the early drug-design pipeline. To validate these models, cross-validation strategies have been employed, including those using clustering of molecules in terms of their chemical structures. Howe
Externí odkaz:
https://doaj.org/article/7d187048d9894295a87124325bb3e03a
Autor:
Pedro J. Ballester, Javier Carmona
Publikováno v:
npj Precision Oncology, Vol 5, Iss 1, Pp 1-3 (2021)
Externí odkaz:
https://doaj.org/article/4ddc45445d914b4f83be2cf6a3232029
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Externí odkaz:
https://doaj.org/article/0259ecbd00304e93b59dd058ab858fbf
Publikováno v:
BMC Medical Genomics, Vol 11, Iss 1, Pp 1-14 (2018)
Abstract Background Oncology drugs are only effective in a small proportion of cancer patients. Our current ability to identify these responsive patients before treatment is still poor in most cases. Thus, there is a pressing need to discover respons
Externí odkaz:
https://doaj.org/article/5fafe98679334e91bb0fa84f870245d3
Publikováno v:
Biomedicines, Vol 9, Iss 10, p 1319 (2021)
(1) Background: Inter-tumour heterogeneity is one of cancer’s most fundamental features. Patient stratification based on drug response prediction is hence needed for effective anti-cancer therapy. However, single-gene markers of response are rare a
Externí odkaz:
https://doaj.org/article/865f23335498479d9afd376cc1ca8346
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Many computational methods to predict the macromolecular targets of small organic molecules have been presented to date. Despite progress, target prediction methods still have important limitations. For example, the most accurate methods imp
Externí odkaz:
https://doaj.org/article/d3c61d3ca21340c9835c42f70e3c47ad