Machine Learning Models and Structure-Based Antibacterial Drug Discovery of the Key ABC Transporter Maltose-Binding Protein A.

Generating new and efficient drugs through machine learning-assisted quantitative structure-activity relationships (ML-QSAR) has become a promising strategy for addressing multidrug-resistant gram-negative bacterial infections. We developed robust ML-QSAR models using Genetic Function Approximation (GFA), Support Vector Machine (SVM), and Artificial Neural Network (ANN) methods to predict the activity of experimentally known quinoline-based MsbA inhibitors, aiming to create more effective antibacterial drugs. The ML models were built using eight significant molecular descriptors: B09[N-Cl], CATS3D_04_AA, F06[N-O], G2i, molecular weight (MW), Mor04p, VE1sign_B(s), and VE1sign_Dz(i), along with 279 molecular fingerprints to predict the MsbA inhibition activity of quinoline-based compounds.

Construction Tasks in Diagnosis of Early Cognitive Impairment - A Critical Revisitation.

Background And Objectives: This study aimed to look at the utility of the clock drawing test (CDT) and cube construction test (CCT) in diagnosing early cognitive impairment (ECI) and the correlations among various demographic variables and neuropsychological tests.

Methods: This is a retrospective study with data collected from an ongoing registry. Elderly with at least 8 years of formal education were categorized into cognitively normal (CN), mild cognitive impairment (MCI), and early dementia (ED) as per established criteria.

Efficacy of Cognitive Interventions in Mild Cognitive Impairment due to Alzheimer's Disease- An Open-Labelled Exploratory Analysis.

Background: Efficacy data on nonpharmacotherapy-based interventions such as cognitive retraining and mindfulness meditation on improving neuropsychological functioning in early Alzheimer's disease (AD) are sparse in Indian literature.

Objective: The objective of the study was to quantify the effect of cognitive retraining (CR) versus mindfulness training (MT) on neuropsychological test performance in patients with early AD.

Methods And Materials: We administered CR and MT strategies in two prospectively enrolled groups of individuals (N = 34) who met the criteria for mild cognitive impairment (MCI) due to AD.

Treatment of early-stage diabetic nephropathy with Siddha drug Sirupeelai Kudineer: A case series.

Diabetic Nephropathy is one of the major microvascular complications of Diabetes Mellitus, which can be detected in the earlier stage by investigating urinary microalbumin excretion levels and estimating ACR and GFR. Early treatment can delay or prevent the progression of diabetic Nephropathy. Monoherbal Siddha formulation Sirupeelai Kudineer indicated for the complications of Diabetes Mellitus is selected for this Case study.

Coconut husk-lignin derived carbon dots incorporated carrageenan based functional film for intelligent food packaging.

Carbon dots (CDs) derived from sustainable natural feed-stocks like lignin have gained wide acceptance by virtue of their renewability and promising potential in intelligent sensing applications. The precursor lignin is isolated from agro-biomass waste, coconut husk through sodium hydroxide based extraction process. CDs are synthesised from amine functionalized lignin through solvothermal process and integrated into carrageenan biopolymer matrix (1, 2 and 3 wt%).