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Predicting protein secondary structure based on ensemble Neural Network
2021
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)
Protein structure prediction is very vital to innovative process of discovering new medications based on the knowledge of a biological target. It is also useful for scientifically exposing the biological basis of convoluted diseases and drug effects. Despite its usefulness, protein structure is very complex, thereby making its prediction to be arduous, timewasting and costly. These drawbacks necessitated the need to develop more effective techniques with high prediction capability. Conventional
doi:10.5935/jetia.v7i27.732
fatcat:unneqh4f75eephjezht4rbljt4