Results 81 to 90 of about 11,478 (188)

In Silico Prediction of Physicochemical Properties [PDF]

open access: yes, 2007
This report provides a critical review of computational models, and in particular(quantitative) structure-property relationship (QSPR) models, that are available for the prediction of physicochemical properties.
DEARDEN John, WORTH ANDREW
core  

QSPR of 3-aryloxazolidin-2-one antibacterials

open access: yesBioorganic & Medicinal Chemistry, 2004
A QSPR treatment has been applied to a data set consisting of 60 3-aryloxazolidin-2-one antibacterials to relate the in vitro minimum inhibitory concentration (MIC) (required to inhibiting growth of S. aureus) with theoretical molecular and fragment descriptors.
Center for Heterocyclic Compounds, Department of Chemistry, University of Florida, PO Box 117200, Gainesville, FL 32611, USA ( host institution )   +3 more
openaire   +3 more sources

Combining QSPR modeling and the VIKOR method to rank opioid analgesic drugs via topological indices

open access: yesResults in Chemistry
Opioid analgesic drugs are widely used in modern medicine for pain management, anesthesia, and palliative care, making the study of their physicochemical properties essential for drug design and optimization.
Geethu Kuriachan, Parthiban A.
doaj   +1 more source

A 2D-QSPR approach to predict blood-brain barrier penetration of drugs acting on the central nervous system

open access: yesBrazilian Journal of Pharmaceutical Sciences, 2010
Drugs acting on the central nervous system (CNS) have to cross the blood-brain barrier (BBB) in order to perform their pharmacological actions. Passive BBB diffusion can be partially expressed by the blood/brain partition coefficient (logBB).
Matheus Malta de Sá   +2 more
doaj   +1 more source

CombinatorixPy: Advancing mixture descriptors for computational chemistry

open access: yesSoftwareX
Quantitative Structure-Activity/Property Relationship (QSAR/QSPR) is a machine learning approach to predict chemical and physical properties of pure compounds; however, it has limited application in multi-component compounds.
Rahil Ashtari Mahini   +4 more
doaj   +1 more source

QSPR analysis of distance-based structural indices for drug compounds in tuberculosis treatment

open access: yesHeliyon
Tuberculosis (TB) is one of the most contagious diseases that has a greater mortality rate than HIV/AIDS and the cases of TB are feared to rise as a repercussion of the COVID-19 pandemic.
Micheal Arockiaraj   +6 more
doaj   +1 more source

Eccentric indices based QSPR evaluation of drugs for schizophrenia treatment

open access: yesHeliyon
Schizophrenia is a long-term, serious mental health condition that affects how a person thinks, perceives, and behaves. This disorder often results in substantial difficulties in social interactions and work performance.
Muneeba Mansha   +2 more
doaj   +1 more source

Some Hypotheses on Commonality in Liquidity: New Evidence from the Chinese Stock Market [PDF]

open access: yes
In this paper, we examine four specific hypotheses relating to commonality in liquidity on the Chinese stock markets. These hypotheses are: (a) that market-wide liquidity determines liquidity of individual stocks; (b) that liquidity varies with firm size;
Paresh Kumar Narayan   +2 more
core  

New N-aryloxy-phthalimide derivatives. Synthesis, physico-chemical properties, and QSPR studies

open access: yesOpen Chemistry, 2010
Tudose Madalina   +7 more
doaj   +1 more source

Novel QSAR and QSPR descriptors?

open access: yes, 2006
For the past few weeks I have been working on a review article, which will contain a section with new QSAR/QSPR descriptors published in the period 2000-now.
openaire   +1 more source

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