Quantitative structure—plasma protein binding relationships of acidic drugs

2012 ◽  
Vol 101 (12) ◽  
pp. 4627-4641 ◽  
Author(s):  
Zvetanka Zhivkova ◽  
Irini Doytchinova
2017 ◽  
Vol 20 (1) ◽  
pp. 349 ◽  
Author(s):  
Zvetanka Dobreva Zhivkova

Purpose. Binding of drugs to plasma proteins is a common physiological occurrence which may have a profound effect on both pharmacokinetics and pharmacodynamics. The early prediction of plasma protein binding (PPB) of new drug candidates is an important step in drug development process. The present study is focused on the development of quantitative structure – pharmacokinetics relationship (QSPkR) for the negative logarithm of the free fraction of the drug in plasma (pfu) of basic drugs. Methods. A dataset includes 220 basic drugs, which chemical structures are encoded by 176 descriptors.  Genetic algorithm, stepwise regression and multiple linear regression are used for variable selection and model development. Predictive ability of the model is assessed by internal and external validation.  Results. A simple, significant, interpretable and predictive QSPkR model is constructed for pfu of basic drugs. It is able to predict 59% of the drugs from an external validation set within the 2-fold error of the experimental values with squared correlation coefficient of prediction 0.532, geometric mean fold error (GMFE) 1.94 and mean absolute error (MAE) 0.17. Conclusions. PPB of basic drugs is favored by the lipophilicity, the presence of aromatic C-atoms (either non-substituted, or involved in bridged aromatic systems) and molecular volume.  The fraction ionized as a base fB and the presence of quaternary C-atoms contribute negatively to PPB. A short checklist of criteria for high PPB is defined, and an empirical rule for distinguishing between low, high and very high plasma protein binders is proposed based. This rule allows correct classification of 69% of the very high binders, 71% of the high binders and 91% of the low binders in plasma. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.


Author(s):  
Zvetanka Zhivkova

Objective: Plasma protein binding (PPB) of drugs is important pharmacokinetic (PK) phenomena controlling the free drug concentration in plasma and the overall PK and pharmacodynamic profile. Prediction of PPB at the very early stages of drug development process is of paramount importance for the success of new drug candidates. The study presents a quantitative structure–pharmacokinetics relationship (QSPkR) modelling of PPB for neutral drugs.Methods: The dataset consists of 117 compounds, described by 138 molecular descriptors. Genetic algorithm and stepwise multiple linear regression are used for variable selection and QSPkR models development. The QSPkRs are evaluated by internal and external validation procedures.Results: A robust, significant and predictive QSPkR with explained variance r2 0.768, cross-validated q2LOO-CV 0.731,and geometric mean fold error of prediction (GMFEP) 1.79 is generated, which is able to predict the extent of PPB for 67.6% of the drugs in the dataset within the 2-fold error of experimental values. A simple empiric rule is proposed for distinguishing between drugs with different binding affinity, which allowed correct classification of 78% of the high binders and 87.5% of the low binders.Conclusions: PPB of neutral drugs is favored by lipophilicity, dipole moment, the presence of substituted aromatic and fused rings and a nine-member ring system, and is disfavored by the presence of aromatic N-atoms. Keywords: Plasma protein binding (PPB), Quantitative structure–pharmacokinetics relationship (QSPkR), In silico prediction, Human serum albumin (HSA), Alpha-1-acid glycoprotein (AGP).


2019 ◽  
Vol 47 (8) ◽  
pp. 865-873
Author(s):  
Philip Gardiner ◽  
Rhona J. Cox ◽  
Ken Grime

Author(s):  
Tarun Sharma ◽  
Sidharth Mehan

: In these challenging times of the pandemic, as coronavirus disease 2019 (COVID-19) has taken over the planet, its complications such as acute respiratory distress syndrome (ARDS) have the potential to wipe out a large portion of our population. Whereas a serious lack of ventilators, vaccine being months away makes the condition even worse. That's why promising drug therapy is required. One of them was suggested in this article. It is the angiotensin-converting enzyme-2 (ACE-2) to which the COVID-19 virus binds and upon downregulation of which the pulmonary permeability increases and results in the filling of alveoli by proteinaceous fluids, which finally results in ARDS. ARDS can be assisted by angiotensinII type-1 receptor (AT-1R) blocker and ACE-2 upregulator. AT-1R blocker will prevent vasoconstriction, the proinflammatory effect seen otherwise upon its activation. ACE-2 upregulation will ensure less formation of angiotensin II, vasodilatory effects due to the formation of angiotensin (1-7), increased breakdown of bradykinin at lung level. Overall, decreased vasoconstriction of vessels supplying lungs and decreased vasodilation of lung tissues will ensure decreased pulmonary permeability and eventually relieve ARDS. It should also be considered that all components of the reninangiotensin-aldosterone system (RAAS) are located in the lung tissues. A drug with the least plasma protein binding is required to ensure its distribution across these lung tissues. Cotinine appears to be a promising candidate for COVID-19- induced ARDS. It acts across the board and acts as both an AT-1R blocker, ACE-2 upregulator. It also has a weak plasma protein binding that helps to spread through the lung tissues. In this review, we summarized that cotinine, along with COVID-19 virus replication blocker anti-virals, may prove to be a promising therapy for the treatment of COVID-19 induced ARDS.


Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 382
Author(s):  
Camelia-Maria Toma ◽  
Silvia Imre ◽  
Camil-Eugen Vari ◽  
Daniela-Lucia Muntean ◽  
Amelia Tero-Vescan

Plasma protein binding plays a critical role in drug therapy, being a key part in the characterization of any compound. Among other methods, this process is largely studied by ultrafiltration based on its advantages. However, the method also has some limitations that could negatively influence the experimental results. The aim of this study was to underline key aspects regarding the limitations of the ultrafiltration method, and the potential ways to overcome them. The main limitations are given by the non-specific binding of the substances, the effect of the volume ratio obtained, and the need of a rigorous control of the experimental conditions, especially pH and temperature. This review presents a variety of methods that can hypothetically reduce the limitations, and concludes that ultrafiltration remains a reliable method for the study of protein binding. However, the methodology of the study should be carefully chosen.


2011 ◽  
Vol 7 (8) ◽  
pp. 1009-1020 ◽  
Author(s):  
Mario Pellegatti ◽  
Sabrina Pagliarusco ◽  
Lara Solazzo ◽  
Dimitri Colato

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