Zobrazeno 1 - 10
of 31
pro vyhledávání: '"M. Raddi"'
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Bayesian Inference of Conformational Populations (BICePs) is an algorithm developed to reconcile simulated ensembles with sparse experimental measurements. The Bayesian framework of BICePs enables population reweighting as a post-simulation processin
Externí odkaz:
https://doaj.org/article/9148c7ca6b6840dc9da086267d7716b2
Autor:
C. Cardone, A. De Stefano, G. Rosati, A. Cassata, L. Silvestro, M. Borrelli, E. Di Gennaro, C. Romano, A. Nappi, N. Zanaletti, F. Foschini, R. Casaretti, F. Tatangelo, S. Lastoria, M. Raddi, D. Bilancia, V. Granata, S. Setola, A. Petrillo, C. Vitagliano, P. Gargiulo, L. Arenare, A. Febbraro, E. Martinelli, F. Ciardiello, P. Delrio, A. Budillon, M.C. Piccirillo, A. Avallone
Background: Maintaining angiogenesis inhibition and switching the chemotherapy backbone represent the current second-line therapy in patients with RAS-mutant metastatic colorectal cancer (mCRC). Regorafenib, an oral multikinase inhibitor, prolonged o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4de1274e1101a4f09f6c89979c165bf
https://hdl.handle.net/11591/486125
https://hdl.handle.net/11591/486125
Publikováno v:
J Chem Inf Model
Bayesian Inference of Conformational Populations (BICePs) version 2.0 (v2.0) is a free, open-source Python package that reweights theoretical predictions of conformational state populations using sparse and/or noisy experimental measurements. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e593bf68ded9e81dbf71eda9550efb59
https://doi.org/10.26434/chemrxiv-2022-1b24c
https://doi.org/10.26434/chemrxiv-2022-1b24c
Autor:
Vincent A. Voelz, Robert M. Raddi
Publikováno v:
Journal of Computer-Aided Molecular Design. 35:953-961
Accurate predictions of acid dissociation constants are essential to rational molecular design in the pharmaceutical industry and elsewhere. There has been much interest in developing new machine learning methods that can produce fast and accurate pK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75d477f1d644490ad99ee60fdadc8d5f
https://doi.org/10.1007/s10822-021-00411-8
https://doi.org/10.1007/s10822-021-00411-8
Akademický článek
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Autor:
C. Cardone, M. Piccirillo, G. Rosati, A. De Stefano, C. Romano, A. Nappi, N. Zanaletti, F. Foschini, A. Cassata, R. Casaretti, L. Silvestro, F. Tatangelo, S. Lastoria, M. Raddi, D. Bilancia, A. Febbraro, E. Martinelli, F. Ciardiello, P. Delrio, F. Perrone, A. Budillon, A. Avallone
Publikováno v:
Annals of Oncology. 33:S271
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af6a0cec71ab8c0fc50a5c4b503c33e
https://doi.org/10.1016/j.annonc.2022.04.158
https://doi.org/10.1016/j.annonc.2022.04.158
Publikováno v:
Frontiers in Molecular Biosciences
Frontiers in Molecular Biosciences, Vol 8 (2021)
Frontiers in Molecular Biosciences, Vol 8 (2021)
Bayesian Inference of Conformational Populations (BICePs) is an algorithm developed to reconcile simulated ensembles with sparse experimental measurements. The Bayesian framework of BICePs enables population reweighting as a post-simulation processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9405e064cdbba3055d0081c0e05540a
http://europepmc.org/articles/PMC8144449
http://europepmc.org/articles/PMC8144449
Autor:
Robert M, Raddi, Vincent A, Voelz
Publikováno v:
J Comput Aided Mol Des
Accurate predictions of acid dissociation constants are essential to rational molecular design in the pharmaceutical industry and elsewhere. There has been much interest in developing new machine learning methods that can produce fast and accurate pK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::494ddb6c465d095ae72a7bf9f466c1c8
https://pubmed.ncbi.nlm.nih.gov/34363562
https://pubmed.ncbi.nlm.nih.gov/34363562
Publikováno v:
Biophysical Journal. 118:139a-140a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8d533c1ea0b281a8afde098f03ae01
https://doi.org/10.1016/j.bpj.2019.11.888
https://doi.org/10.1016/j.bpj.2019.11.888
Autor:
C Nappi, W Acampa, V Gaudieri, Z Zampella, R Assante, P Buongiorno, T Mannarino, M Raddi, A Genova, A D\\'antonio, P Arumugam, A Cuocolo
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db416485a0deb0c10f067b61a06c8722
https://doi.org/10.1093/ehjci/jez146.002
https://doi.org/10.1093/ehjci/jez146.002