Advancements in understanding the role and mechanism of sirtuin family (SIRT1-7) in breast cancer management.

Breast cancer (BC) is the most prevalent type of cancer in women worldwide and it is classified into a few distinct molecular subtypes based on the expression of growth factor and hormone receptors. Though significant progress has been achieved in the search for novel medications through traditional and advanced approaches, still we need more efficacious and reliable treatment options to treat different types and stages of BC. Sirtuins (SIRT1-7) a class III histone deacetylase play a major role in combating various cancers including BC.

Bayesian Selection of Relaxed-clock Models: Distinguishing Between Independent and Autocorrelated Rates.

In Bayesian molecular-clock dating of species divergences, rate models are used to construct the prior on the molecular evolutionary rates for branches in the phylogeny, with independent and autocorrelated rate models being commonly used. The two classes of models, however, can result in markedly different divergence time estimates for the same dataset, and thus selecting the best rate model appears important for obtaining reliable in- ferences of divergence times. However, the properties of Bayesian rate model selection are not well understood, in particular when the number of sequence partitions analysed increases and when age calibrations (such as fossil calibrations) are misspecified.

Aug-MIA-QSAR based strategy in bioactivity prediction of a series of flavonoid derivatives as HIV-1 inhibitors.

Multivariate image analysis-quantitative structure-activity relationship (MIA-QSAR) is a simple and quite accessible QSAR method for predicting biological activities of compounds based on two-dimensional image analysis. Aug-MIA-QSAR is a modified version of multivariate image analysis, where the atoms in 2D chemical structures were augmented (labelled by assigning specific colours). This study focuses on efficiently constructing such prediction models using a dataset of flavonoid derivatives possessing human immunodeficiency virus - 1 inhibition.

MIA-QSAR based model for bioactivity prediction of flavonoid derivatives as acetylcholinesterase inhibitors.

Alzheimer's disease is a common form of dementia, which considered to be a major health concern. Multivariate Image Analysis - Quantitative Structure-Activity Relationship (MIA-QSAR) is a simple and quite accessible QSAR method for predicting biological activities of unstudied compounds based on 2D image analysis. This study focuses on constructing an efficient QSAR model using a dataset of 52 flavonoid derivatives (substituted with amino-alkyl, alkoxy, alkyl-amines, and piperidine groups) as active compounds against acetylcholinesterase inhibitors (AChE).