{Investigation of educational processes with affective computing ...

Abstract?Computational models can advance affective science by shedding light onto the interplay between cognition and emotion.







An End-to-End Platform for Multi-Modal Machine Learning Affective ...
Affective Computing is the interdisciplinary field of study concerned with recognizing, understanding, simulating and stimulating affective states in the design ...
In silico Structure Prediction, Molecular Docking, and Dynamic ...
Received Date: 16.03.2021. Accepted Date: 27.07.2022. Abstract. Aim of study: The aim of this study is to show the in silico evidences about the potential ...
In Silico Identification of ANKRD22 as a Theragnostic Target for ...
1: Applied methodology to screen natural compounds against the target protein. Results and Discussion. The objective of the current in silico analysis was to.
In Silico Design and Selection of CD44 Antagonists
Therefore, the present study aims to predict the po- tency of CA as a candidate for PI3K/AKT activator using in silico virtual screening, ...
DFT study, ADMET prediction, and molecular docking
A study conducted by Rampogu et al. developed a ligand-based pharmacophore model for the screening of natural compounds against HER2 kinase domain. A total of.
Development of tools for in silico drug discovery
In the present study, wild and mutant type PBP2 of N. gonorrhoeae was chosen for the designing of putative novel compounds to overcome ...
In silico efforts to screen potential natural compounds against ...
ABSTRACT: Overexpression of c-MYC oncogene is associated with cancer pathology. Expression of c-MYC is regulated by the G-quadruplex.
In silico prediction of cinnamaldehyde on the PI3K/AKT ... - JPPRes
Some of these methods include computational identification of potential drug targets, virtual screening of large chemical libraries for effective drug ...
A Guide to In Silico Drug Design | Pharma Excipients
In silico studies have played an important role in medicinal chemistry, pharmacology, and related research for screening, interaction studies, ...
An In Silico Study for the Identification of Novel Putative Compounds ...
Our current study explores the possibility of identifying potential anti-COVID candidates from the phytocompounds of Justicia adhatoda by virtual screening.
In silico Identification of Thyroid Disrupting Chemicals
The aim of the current study is to synthesize a novel drug using Schiff base synthesis and perform its structural elucidation by different modes of Instrumental ...
In silico-based virtual drug screening and molecular docking ...
The recent research has focused on identifying a pos- sible ligand molecule from P. Murex, which can act as a suitable drug candidate. The compounds from P.