Publications by authors named "R L Bakal"

Background: Early systolic lengthening is a echocardiographic strain parameter previously used to determine the lesion severity in patients with stable coronary artery disease. In the present study, we aimed to evaluate the relationship between early systolic lengthening and anatomic SYNTAX score in troponin (-) and (+) groups among patients with non-ST-elevation acute coronary syndrome (ACS).

Methods: A total of 95 patients diagnosed with non-ST-elevation ACS were included in the prospective, non-randomized, single-center study.

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With captive invertebrates increasing in popularity, a safe and effective anesthesia protocol is required for their veterinary care. This study investigated the safety and efficacy of 5% isoflurane anesthesia and 0.26 ml hemolymph collection in subadult to adult emperor scorpions ( = 14).

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Alzheimer's disease (AD) is a severe neurodegenerative disorder of the brain that manifests as dementia, disorientation, difficulty in speech, and progressive cognitive and behavioral impairment. The emerging therapeutic approach to AD management is the inhibition of β-site APP cleaving enzyme-1 (BACE1), known to be one of the two aspartyl proteases that cleave β-amyloid precursor protein (APP). Studies confirmed the association of high BACE1 activity with the proficiency in the formation of β-amyloid-containing neurotic plaques, the characteristics of AD.

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ALK tyrosine kinase ALK TK is an important target in the development of anticancer drugs. In the present work, we have performed a QSAR analysis on a dataset of 224 molecules in order to quickly predict anticancer activity on query compounds. Double cross validation assigns an upward plunge to the genetic algorithm−multi linear regression (GA-MLR) based on robust univariate and multivariate QSAR models with high statistical performance reflected in various parameters like, fitting parameters; R2 = 0.

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Using 84 structurally diverse and experimentally validated LSD1/KDM1A inhibitors, quantitative structure-activity relationship (QSAR) models were built by OECD requirements. In the QSAR analysis, certainly significant and understated pharmacophoric features were identified as critical for LSD1 inhibition, such as a ring Carbon atom with exactly six bonds from a Nitrogen atom, partial charges of lipophilic atoms within eight bonds from a ring Sulphur atom, a non-ring Oxygen atom exactly nine bonds from the amide Nitrogen, etc. The genetic algorithm-multi-linear regression (GA-MLR) and double cross-validation criteria were used to create robust QSAR models with high predictability.

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