FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2036745883> ?p ?o ?g. }

• W2036745883 endingPage "259" @default.
• W2036745883 startingPage "245" @default.
• W2036745883 abstract "Pharmaceutical agents have been developed and tested for possessing desirable pharmacodynamic, pharmacokinetic, and minimal level of toxicological properties. Computational methods have been explored for predicting these properties aimed at the discovery of promising leads and the elimination of unsuitable ones in early stages of drug development. Statistical learning methods have shown their potential for predicting these properties for structurally diverse sets of agents by using both conventional (quantitative structure–activity and structure–property relationships) and more recently explored (such as neural networks and support vector machines) statistical models. These methods have been used for predicting agents of a variety of pharmacodynamic (such as inhibitors or agonists of a therapeutic target), pharmacokinetic (such as P-glycoprotein substrates, human intestine absorption, and blood–brain barrier penetrating capabilities), and toxicological (such as genotoxicity) properties. The strategies, current progresses, and the underlying difficulties and future prospects of the application of the recently explored statistical learning methods are discussed. Drug Dev. Res. 66:245–259, 2006. © 2006 Wiley-Liss, Inc." @default.
• W2036745883 created "2016-06-24" @default.
• W2036745883 creator A5040394206 @default.
• W2036745883 creator A5051123510 @default.
• W2036745883 creator A5052487007 @default.
• W2036745883 creator A5054844526 @default.
• W2036745883 creator A5072127156 @default.
• W2036745883 creator A5075219183 @default.
• W2036745883 creator A5077700312 @default.
• W2036745883 date "2005-12-01" @default.
• W2036745883 modified "2023-10-15" @default.
• W2036745883 title "Statistical learning approach for predicting specific pharmacodynamic, pharmacokinetic, or toxicological properties of pharmaceutical agents" @default.
• W2036745883 cites W137858931 @default.
• W2036745883 cites W1520346077 @default.
• W2036745883 cites W1563088657 @default.
• W2036745883 cites W1607350267 @default.
• W2036745883 cites W1964168965 @default.
• W2036745883 cites W1964913652 @default.
• W2036745883 cites W1974166884 @default.
• W2036745883 cites W1983718476 @default.
• W2036745883 cites W1987118114 @default.
• W2036745883 cites W1987202142 @default.
• W2036745883 cites W1987446850 @default.
• W2036745883 cites W1991619291 @default.
• W2036745883 cites W1992229282 @default.
• W2036745883 cites W1993180192 @default.
• W2036745883 cites W1995089537 @default.
• W2036745883 cites W1995254901 @default.
• W2036745883 cites W1998228029 @default.
• W2036745883 cites W1999846848 @default.
• W2036745883 cites W2002216886 @default.
• W2036745883 cites W2003265591 @default.
• W2036745883 cites W2004760443 @default.
• W2036745883 cites W2007145643 @default.
• W2036745883 cites W2007436490 @default.
• W2036745883 cites W2007881936 @default.
• W2036745883 cites W2011422283 @default.
• W2036745883 cites W2012132549 @default.
• W2036745883 cites W2014044607 @default.
• W2036745883 cites W2017337590 @default.
• W2036745883 cites W2024587346 @default.
• W2036745883 cites W2031498906 @default.
• W2036745883 cites W2033983313 @default.
• W2036745883 cites W2034038739 @default.
• W2036745883 cites W2035051484 @default.
• W2036745883 cites W2040324575 @default.
• W2036745883 cites W2043102093 @default.
• W2036745883 cites W2049334526 @default.
• W2036745883 cites W2049529694 @default.
• W2036745883 cites W2051012401 @default.
• W2036745883 cites W2058589157 @default.
• W2036745883 cites W2058707623 @default.
• W2036745883 cites W2059329439 @default.
• W2036745883 cites W2064622096 @default.
• W2036745883 cites W2065161473 @default.
• W2036745883 cites W2071552459 @default.
• W2036745883 cites W2072556121 @default.
• W2036745883 cites W2085006365 @default.
• W2036745883 cites W2088857433 @default.
• W2036745883 cites W2089035939 @default.
• W2036745883 cites W2094990347 @default.
• W2036745883 cites W2095138748 @default.
• W2036745883 cites W2115086145 @default.
• W2036745883 cites W2116855266 @default.
• W2036745883 cites W2117753715 @default.
• W2036745883 cites W2124470932 @default.
• W2036745883 cites W2124608293 @default.
• W2036745883 cites W2136241053 @default.
• W2036745883 cites W2143426320 @default.
• W2036745883 cites W2156909104 @default.
• W2036745883 cites W2159667057 @default.
• W2036745883 cites W3175318380 @default.
• W2036745883 doi "https://doi.org/10.1002/ddr.20044" @default.
• W2036745883 hasPublicationYear "2005" @default.
• W2036745883 type Work @default.
• W2036745883 sameAs 2036745883 @default.
• W2036745883 citedByCount "24" @default.
• W2036745883 countsByYear W20367458832012 @default.
• W2036745883 countsByYear W20367458832013 @default.
• W2036745883 countsByYear W20367458832019 @default.
• W2036745883 countsByYear W20367458832023 @default.
• W2036745883 crossrefType "journal-article" @default.
• W2036745883 hasAuthorship W2036745883A5040394206 @default.
• W2036745883 hasAuthorship W2036745883A5051123510 @default.
• W2036745883 hasAuthorship W2036745883A5052487007 @default.
• W2036745883 hasAuthorship W2036745883A5054844526 @default.
• W2036745883 hasAuthorship W2036745883A5072127156 @default.
• W2036745883 hasAuthorship W2036745883A5075219183 @default.
• W2036745883 hasAuthorship W2036745883A5077700312 @default.
• W2036745883 hasConcept C111113717 @default.
• W2036745883 hasConcept C112705442 @default.
• W2036745883 hasConcept C119857082 @default.
• W2036745883 hasConcept C127413603 @default.
• W2036745883 hasConcept C183696295 @default.
• W2036745883 hasConcept C2779652045 @default.
• W2036745883 hasConcept C2780035454 @default.
• W2036745883 hasConcept C41008148 @default.
• W2036745883 hasConcept C60644358 @default.

• next