Annona muricata Linn or usually identified as soursop is a potential anticancer plant that has been widely reported to contain valuable chemopreventive agents known as annonaceous acetogenins. The antiproliferative and anticancer activities of this tropical and subtropical plant have been demonstrated in cell culture and animal studies. A. muricata L. exerts inhibition against numerous types of cancer cells, involving multiple mechanism of actions such as apoptosis, a programmed cell death that are mainly regulated by Bcl-2 family of proteins. Nonetheless, the binding mode and the molecular interactions of the plant's bioactive constituents have not yet been unveiled for most of these mechanisms. In the current study, we aim to elucidate the binding interaction of ten bioactive phytochemicals of A. muricata L. to three Bcl-2 family of antiapoptotic proteins viz. Bcl-2, Bcl-w and Mcl-1 using an in silico molecular docking analysis software, Autodock 4.2. The stability of the complex with highest affinity was evaluated using MD simulation. We compared the docking analysis of these substances with pre-clinical Bcl-2 inhibitor namely obatoclax. The study identified the potential chemopreventive agent among the bioactive compounds. We also characterized the important interacting residues of protein targets which involve in the binding interaction. Results displayed that anonaine, a benzylisoquinoline alkaloid, showed a high affinity towards the Bcl-2, thus indicating that this compound is a potent inhibitor of the Bcl-2 antiapoptotic family of proteins.

Aquatic ecosystems that form major biodiversity hotspots are critically threatened due to environmental and anthropogenic stressors. We believe that, in this genomic era, computational methods can be applied to promote aquatic biodiversity conservation by addressing questions related to the evolutionary history of aquatic organisms at the molecular level. However, huge amounts of genomics data generated can only be discerned through the use of bioinformatics. Here, we examine the applications of next-generation sequencing technologies and bioinformatics tools to study the molecular evolution of aquatic animals and discuss the current challenges and future perspectives of using bioinformatics toward aquatic animal conservation efforts.

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In this study, the Lattice Boltzmann method has been used to investigate flow configuration of the two-sided lid driven cavity. The top and bottom lid were moved at the same direction but with different speed ratio which varies from 0 to 1. The range of Reynolds number is 100,400 and 1000. The results show that the increase in both speed ratio and Reynolds number give an effect on flow configuration of the cavity.

(1) Background: Quorum sensing (QS) is the chemical communication between bacteria that sense chemical signals in the bacterial population to control phenotypic changes through the regulation of gene expression. The inhibition of QS has various potential applications, particularly in the prevention of bacterial infection. QS can be inhibited by targeting the LuxP, a periplasmic receptor protein that is involved in the sensing of the QS signaling molecule known as the autoinducer 2 (AI-2). The sensing of AI-2 by LuxP transduces the chemical information through the inner membrane sensor kinase LuxQ protein and activates the QS cascade. (2) Methods: An in silico approach was applied to design DNA aptamers against LuxP in this study. A method combining molecular docking and molecular dynamics simulations was used to select the oligonucleotides that bind to LuxP, which were then further characterized using isothermal titration calorimetry. Subsequently, the bioactivity of the selected aptamer was examined through comparative transcriptome analysis. (3) Results: Two aptamer candidates were identified from the ITC, which have the lowest dissociation constants (Kd) of 0.2 and 0.5 micromolar. The aptamer with the lowest Kd demonstrated QS suppression and down-regulated the flagellar-assembly-related gene expression. (4) Conclusions: This study developed an in silico approach to design an aptamer that possesses anti-QS properties.

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Tagatose is a high value low calorie sweetener that is used as a sugar substitute in the food and pharmaceutical industry. The production of tagatose requires the conversion of galactitol-1-phosphate to tagatose-6-phosphate by galactitol-1-phosphate 5-dehydrogenase (PdGPDH). The objective of this work is to study the protein-ligand interaction between PdGPDH and its ligands; galactitol-1-phosphate, Zn2+ and NAD+. Understanding of this mechanism will provide an insight into the possible catalytic events in these domains, thus providing information for potential protein engineering to improve the tagatose production. A 3D model of PdGPDH was constructed to identify the catalytic and coenzyme binding domains. In order to understand the interaction of PdGPDH with its ligands, a docking analysis of PdGPDH-substrate, PdGPDH-Zn2+ and PdGPDH-NAD+ complex was performed using CDOCKER in Discovery Studio 4.0 (DS 4.0). A series of docking events were performed to find the most stable binding interaction for the enzyme and its ligands. This study found that Cys 37, His 58, Glu 59, Glu 142 residues from PdGPDH form an active site pocket similar to known GPDH. A catalytic Zn2+ binding domain and a cofactor NAD+ binding domain with strong hydrogen bonding contacts with the substrate and the cofactor were identified. The binding pockets of the enzyme for galactitol-1-phosphate, NAD+ and Zn2+ has been defined. The stability of PdGPDH with its ligand was verified by utilizing the molecular dynamic simulation of docked complex. The results from this study will assist future mutagenesis study and enzyme modification work to improve the tagatose production.