Dataset on anti-human insulin-degrading enzyme activities of cyclic tetra peptides: Insight from insilico approach.

In this work, the biochemical activities of seven cyclic peptides were investigated using the approach. The materials used in this work were Spartan 14 for quantum chemical analysis, molecular operating environment software for molecular docking and ADMETSAR 2.0 for pharmacokinetic investigation.

Data analytics-based evaluation of blood indices and adaptation of medicated and non-medicated broiler chickens under humid tropical conditions.

The growth performance and blood indices of medicated and non-medicated broiler chickens have been the subject of this research coupled with a paucity of comparative information on what can actually happen to broiler chickens if not medicated when reared under humid tropical conditions. One hundred unsexed day-old broilers were randomly and equally allotted into two treatment groups of TM (medicated) and TN (non-medicated) in a completely randomized design each treatment with five replicates having ten birds each. The birds were reared on deep litter system for 56 d which was divided into two phases of 28 d each (starter and finisher), during which data were collected with respect to daily feed intake, final body weight, body weight gained (BWG), mortality rate while blood analysis was carried out on 28th and 56th d for starter and finisher phases, respectively.

Poultry fecal imagery dataset for health status prediction: A case of South-West Nigeria.

Feces is one quick way to determine the health status of the birds and farmers rely on years of experience as well as professionals to identify and diagnose poultry diseases. Most often, farmers lose their flocks as a result of delayed diagnosis or a lack of trustworthy experts. Prevalent diseases affecting poultry birds may be quickly noticed from image of poultry bird's droppings using artificial intelligence based on computer vision and image analysis.

Dataset on substituents effect on biological activities of linear RGD-containing peptides as potential anti-angiotensin converting enzyme.

The angiotensin converting enzyme inhibiting activity of linear rgd-containing peptides was investigated using approach. The synthesized compound (parent compound) using experimental approach as well as its derivatives was subjected to computational examination using appropriate software. The investigated compounds were optimized using Spartan 14 while the docking study was executed via Pymol, AutoDock Tool, AutoDock Vina and discovery studio.

Dataset on biochemical inhibiting activities of selected phytochemicals in as potential NS2B-NS3 proteases inhibitors.

The anti-NS2B-NS3 proteases activities of L. were investigated via the data obtained from selected bioactive compounds from L. The work was investigated using approach and the series of computational software were used to execute the task.