7 Works
Additional file 1 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers
Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 1. The proposed ensemble learning model carried out on the synthetic dataset generated by the CTGAN method.
Molecular interaction studies of thymol via molecular dynamic simulations and free energy calculations using multi-target approach against Aedes aegypti proteome to decipher its role as mosquito repellent
Anagha S. Setlur, Chandrashekar Karunakaran, Shruti Pandey, Manas Sarkar & Vidya Niranjan
Aedes aegypti (A. aegypti) is the principal vector for several diseases and despite having synthetic repellents to curb its feeding and transmission, they pose a threat to humans upon chronic use. Therefore, this study explores natural alternative thymol, via both structural and molecular binding properties against whole proteome targets of A. using a multi-target approach. Properties of thymol were studied using ProTox-II to determine the toxicity class. A preliminary screening of the proteome of A....
Additional file 2 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers
Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 2. The synthetic dataset generated through TVAE method.
Functional miscibility and thermomechanical properties enhancement of substituted phthalic acetylated modified chitin filler in biopolymer composite
Niyi Olaiya, O.S. Obaseki, Gaber A.M. Mersal, Mohamed M. Ibrahim, Mahmoud M. Hessien, Funmilayo Olaiya, Asif Afzal, Taslima Khanam & Ahmad Rashedi
The miscibility between hydrophobic and hydrophilic biopolymers has been of significant challenge. This study used a novel simplified chitin modification method to produce phthalic - chitin using phthalic anhydride in a substitution reaction. The FT-IR functional group analysis was used to confirm the substitution reaction. The modified chitin was used as compatibiliser in PLA/starch biocomposite to enhance its properties. The biocomposite was prepared using melt extrusion and compression moulding technique. The biocomposite's morphological, thermomechanical, and...
Molecular interaction studies of thymol via molecular dynamic simulations and free energy calculations using multi-target approach against Aedes aegypti proteome to decipher its role as mosquito repellent
Anagha S. Setlur, Chandrashekar Karunakaran, Shruti Pandey, Manas Sarkar & Vidya Niranjan
Aedes aegypti (A. aegypti) is the principal vector for several diseases and despite having synthetic repellents to curb its feeding and transmission, they pose a threat to humans upon chronic use. Therefore, this study explores natural alternative thymol, via both structural and molecular binding properties against whole proteome targets of A. using a multi-target approach. Properties of thymol were studied using ProTox-II to determine the toxicity class. A preliminary screening of the proteome of A....
Additional file 1 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers
Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 1. The proposed ensemble learning model carried out on the synthetic dataset generated by the CTGAN method.
Additional file 2 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers
Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 2. The synthetic dataset generated through TVAE method.