FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1996069056> ?p ?o ?g. }

• W1996069056 endingPage "291" @default.
• W1996069056 startingPage "285" @default.
• W1996069056 abstract "With the increasing price tag for bringing a drug molecule to the market, There is an increased desire for pharmaceutical companies to incorporate sustainable and environmentally benign approaches. Traditionally, medicinal chemists have tried to utilize several green techniques to improve the process of drug discovery. Sometimes, it requires the modification of the existing processes or substituting them with new synthetic routes to become more environmentally benign. Methods included the selection of solvents and/or catalysts or to replace reaction steps with sustainable reaction conditions. The advent of the powerful computer technologies, offers opportunities to develop more sustainable ways to do medicinal chemistry with predictive algorithms. Algorithms used to calculate the process mass intensity (PMI) in any pharmaceutical process chemistry helps attenuate product sustainability. Cheminformatics tools like quantitative structure-activity relationship (QSAR) or computational tools like structure- and ligand-based drug design and virtual screening help design more active molecules in a greener way. Predictive tools for molecular properties like absorption, distribution, metabolism, and excretion (ADME), solubility, and lipophilicity are essential in modern drug discovery processes to create more drug-like molecules. These green and sustainable tools made modern medicinal chemistry more robust and efficient." @default.
• W1996069056 created "2016-06-24" @default.
• W1996069056 creator A5001810895 @default.
• W1996069056 creator A5052003735 @default.
• W1996069056 date "1995-09-01" @default.
• W1996069056 modified "2023-10-16" @default.
• W1996069056 title "3D-QSAR: a current perspective" @default.
• W1996069056 cites W1509196567 @default.
• W1996069056 cites W1656114533 @default.
• W1996069056 cites W1963827402 @default.
• W1996069056 cites W1969559577 @default.
• W1996069056 cites W1970043508 @default.
• W1996069056 cites W1972205444 @default.
• W1996069056 cites W1975058685 @default.
• W1996069056 cites W1975404394 @default.
• W1996069056 cites W1976396917 @default.
• W1996069056 cites W1983718476 @default.
• W1996069056 cites W1994314988 @default.
• W1996069056 cites W1996662739 @default.
• W1996069056 cites W1997388207 @default.
• W1996069056 cites W2002271733 @default.
• W1996069056 cites W2007501261 @default.
• W1996069056 cites W2008061170 @default.
• W1996069056 cites W2008442742 @default.
• W1996069056 cites W2009506884 @default.
• W1996069056 cites W2012411921 @default.
• W1996069056 cites W2016892955 @default.
• W1996069056 cites W2018643495 @default.
• W1996069056 cites W2023752424 @default.
• W1996069056 cites W2025600527 @default.
• W1996069056 cites W2026610312 @default.
• W1996069056 cites W2038375632 @default.
• W1996069056 cites W2047819524 @default.
• W1996069056 cites W2052080593 @default.
• W1996069056 cites W2052226480 @default.
• W1996069056 cites W2060349751 @default.
• W1996069056 cites W2062181197 @default.
• W1996069056 cites W2062912306 @default.
• W1996069056 cites W2063060349 @default.
• W1996069056 cites W2068049514 @default.
• W1996069056 cites W2071958671 @default.
• W1996069056 cites W2074485100 @default.
• W1996069056 cites W2074508828 @default.
• W1996069056 cites W2079794682 @default.
• W1996069056 cites W2080653934 @default.
• W1996069056 cites W2081494503 @default.
• W1996069056 cites W2082984896 @default.
• W1996069056 cites W2089619661 @default.
• W1996069056 cites W2090334849 @default.
• W1996069056 cites W2094032165 @default.
• W1996069056 cites W2118868944 @default.
• W1996069056 cites W2152120395 @default.
• W1996069056 cites W2166446427 @default.
• W1996069056 cites W2171741046 @default.
• W1996069056 cites W2254476898 @default.
• W1996069056 doi "https://doi.org/10.1016/s0165-6147(00)89052-5" @default.
• W1996069056 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/7482991" @default.
• W1996069056 hasPublicationYear "1995" @default.
• W1996069056 type Work @default.
• W1996069056 sameAs 1996069056 @default.
• W1996069056 citedByCount "65" @default.
• W1996069056 countsByYear W19960690562012 @default.
• W1996069056 countsByYear W19960690562016 @default.
• W1996069056 countsByYear W19960690562017 @default.
• W1996069056 countsByYear W19960690562019 @default.
• W1996069056 countsByYear W19960690562020 @default.
• W1996069056 countsByYear W19960690562021 @default.
• W1996069056 countsByYear W19960690562022 @default.
• W1996069056 countsByYear W19960690562023 @default.
• W1996069056 crossrefType "journal-article" @default.
• W1996069056 hasAuthorship W1996069056A5001810895 @default.
• W1996069056 hasAuthorship W1996069056A5052003735 @default.
• W1996069056 hasConcept C111919701 @default.
• W1996069056 hasConcept C119857082 @default.
• W1996069056 hasConcept C127413603 @default.
• W1996069056 hasConcept C147597530 @default.
• W1996069056 hasConcept C164126121 @default.
• W1996069056 hasConcept C171250308 @default.
• W1996069056 hasConcept C183696295 @default.
• W1996069056 hasConcept C185592680 @default.
• W1996069056 hasConcept C18903297 @default.
• W1996069056 hasConcept C192562407 @default.
• W1996069056 hasConcept C21951064 @default.
• W1996069056 hasConcept C2522767166 @default.
• W1996069056 hasConcept C2780035454 @default.
• W1996069056 hasConcept C41008148 @default.
• W1996069056 hasConcept C539667460 @default.
• W1996069056 hasConcept C55493867 @default.
• W1996069056 hasConcept C66204764 @default.
• W1996069056 hasConcept C68762167 @default.
• W1996069056 hasConcept C69366308 @default.
• W1996069056 hasConcept C71924100 @default.
• W1996069056 hasConcept C74187038 @default.
• W1996069056 hasConcept C86803240 @default.
• W1996069056 hasConcept C98045186 @default.
• W1996069056 hasConcept C98274493 @default.
• W1996069056 hasConceptScore W1996069056C111919701 @default.
• W1996069056 hasConceptScore W1996069056C119857082 @default.

• next