Results 111 to 120 of about 1,459,292 (318)

Full length HIV-1 Gag determines protease inhibitor susceptibility within in vitro assays [PDF]

open access: yes, 2010
OBJECTIVE: There is evidence that gag contributes to protease inhibitor susceptibility in treatment-experienced patients. Moreover, protease inhibitor resistance-associated mutations can arise in gag in the absence of protease mutations in vitro.
Gupta, R.K.   +5 more
core   +1 more source

Human biomarker navigator

open access: yesiMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li   +29 more
wiley   +1 more source

Clinical periodontal diagnosis

open access: yesPeriodontology 2000, EarlyView., 2023
Abstract Periodontal diseases include pathological conditions elicited by the presence of bacterial biofilms leading to a host response. In the diagnostic process, clinical signs such as bleeding on probing, development of periodontal pockets and gingival recessions, furcation involvement and presence of radiographic bone loss should be assessed prior ...
Giovanni E. Salvi   +5 more
wiley   +1 more source

Reviewing HIV-1 Gag Mutations in Protease Inhibitors Resistance: Insights for Possible Novel Gag Inhibitor Designs

open access: yesMolecules, 2019
HIV protease inhibitors against the viral protease are often hampered by drug resistance mutations in protease and in the viral substrate Gag. To overcome this drug resistance and inhibit viral maturation, targeting Gag alongside protease rather than ...
Chinh Tran-To Su   +2 more
doaj   +1 more source

Cardio-metabolic effectsof HIV protease inhibitors (lopinavir/ritonavir).

open access: yesPLoS ONE, 2013
Although antiretroviral treatment decreases HIV-AIDS morbidity/mortality, long-term side effects may include the onset of insulin resistance and cardiovascular diseases.
Kathleen M S E Reyskens   +10 more
doaj   +1 more source

Drogas anti-VIH: passado, presente e perspectivas futuras Drugs anti-HIV: past, present and future perspectives

open access: yesQuímica Nova, 2003
Currently available anti-HIV drugs can be classified into three categories: nucleoside analogue reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs).
Marcus Vinícius Nora de Souza   +1 more
doaj   +1 more source

Influence of Drug Transport Proteins on Pharmacokinetics and Drug Interactions of HIV Protease Inhibitors

open access: yesJournal of Pharmacy and Science, 2011
Protease inhibitors, a class of antiretroviral agents frequently used in the treatment of HIV infection, interact with numerous transport proteins resulting in clinically significant drug-drug interactions (DDIs). This review focuses on the proteins that
LaToya M. Griffin   +2 more
semanticscholar   +1 more source

Avaliação da ativação da via UPR (Unfolded Protein Response) em células de indivíduos HIV positivos sob diferentes esquemas terapêuticos [PDF]

open access: yes, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Biológicas. Programa de Pós-Graduação em BiotecnologiaA via UPR (do inglês Unfolded Protein Response) é uma resposta celular ao acúmulo de proteínas desenoveladas no ...
Borsa, Mariana
core  

The rate of viral rebound after attainment of an HIV load < 50 copies/mL according to specific antiretroviral drugs in use: Results from a multicenter cohort study [PDF]

open access: yes, 2005
Background. Relatively few data are available on the association between the use of specific antiretroviral drugs and the rate of viral rebound in those attaining a viral load (VL) 500 copies/ mL).
Smith, CJ   +16 more
core   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy