Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Manali Singha"'
Autor:
Manali Singha, Limeng Pu, Brent A. Stanfield, Ifeanyi K. Uche, Paul J. F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-17 (2022)
Abstract Background Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of resea
Externí odkaz:
https://doaj.org/article/0b1f2d70161f42d9951af37048845c63
Publikováno v:
npj Systems Biology and Applications, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract Genomic profiles of cancer cells provide valuable information on genetic alterations in cancer. Several recent studies employed these data to predict the response of cancer cell lines to drug treatment. Nonetheless, due to the multifactorial
Externí odkaz:
https://doaj.org/article/7d03bbbe4aa14c2e9c9189d2298a07fd
Autor:
Manali Singha, Limeng Pu, Gopal Srivastava, Xialong Ni, Brent A. Stanfield, Ifeanyi K. Uche, Paul J. F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski
Publikováno v:
Cancers, Vol 15, Iss 16, p 4050 (2023)
Deregulated protein kinases are crucial in promoting cancer cell proliferation and driving malignant cell signaling. Although these kinases are essential targets for cancer therapy due to their involvement in cell development and proliferation, only
Externí odkaz:
https://doaj.org/article/7feb399976a04632b4cf747934def285
Autor:
Guannan Liu, Manali Singha, Limeng Pu, Prasanga Neupane, Joseph Feinstein, Hsiao-Chun Wu, J. Ramanujam, Michal Brylinski
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-17 (2021)
Abstract Traditional techniqueset identification, we developed GraphDTI, a robust machine learning framework integrating the molecular-level information on drugs, proteins, and binding sites with the system-level information on gene expression and pr
Externí odkaz:
https://doaj.org/article/906e531a92ba466c941ac8f1556e93ee
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Computational modeling is an essential component of modern drug discovery. One of its most important applications is to select promising drug candidates for pharmacologically relevant target proteins. Because of continuing advances in structural biol
Externí odkaz:
https://doaj.org/article/263f1fe6dc3a4af2ae9fb5019c49236a
Autor:
Wentao Shi, Manali Singha, Limeng Pu, Gopal Srivastava, Jagannathan Ramanujam, Michal Brylinski
Publikováno v:
Biomolecules, Vol 12, Iss 8, p 1053 (2022)
The binding of small organic molecules to protein targets is fundamental to a wide array of cellular functions. It is also routinely exploited to develop new therapeutic strategies against a variety of diseases. On that account, the ability to effect
Externí odkaz:
https://doaj.org/article/dfc3c0e1084a495d81f8225017a1d4f9
Publikováno v:
Oncotarget. 13
Development of novel anti-cancer treatments requires not only a comprehensive knowledge of cancer processes and drug mechanisms of action, but also the ability to accurately predict the response of various cancer cell lines to therapeutics. Numerous
Publikováno v:
Frontiers in pharmacology. 13
Computational modeling is an essential component of modern drug discovery. One of its most important applications is to select promising drug candidates for pharmacologically relevant target proteins. Because of continuing advances in structural biol
Binding sites are concave surfaces on proteins that bind to small molecules called ligands. Types of molecules that bind to the protein determine its biological function. Meanwhile, the binding process between small molecules and the protein is also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2bc25d82068762fb0dfbd6595038226
https://doi.org/10.1101/2021.12.06.471420
https://doi.org/10.1101/2021.12.06.471420
Autor:
Michal Brylinski, Guannan Liu, Limeng Pu, Prasanga Neupane, Manali Singha, Joseph Feinstein, J. Ramanujam, Hsiao-Chun Wu
Publikováno v:
Journal of Cheminformatics
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-17 (2021)
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-17 (2021)
Traditional techniques to identify macromolecular targets for drugs utilize solely the information on a query drug and a putative target. Nonetheless, the mechanisms of action of many drugs depend not only on their binding affinity toward a single pr