T4SS EFFECTOR PROTEIN PREDICTION WITH DEEP LEARNING

T4SS Effector Protein Prediction with Deep Learning

Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells.The correct prediction of type IV protein effectors secreted by T4SS is important, since they are known to play a noteworthy role in various human pathogens.Studies on predicting T4SS effectors involve

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The Mechanism and Role of ADAMTS Protein Family in Osteoarthritis

Osteoarthritis (OA) is a principal cause of aches and disability worldwide.It is characterized by the inflammation of the bone leading to degeneration and loss of cartilage function.Factors, including diet, age, and obesity, impact and/or lead to osteoarthritis.In the past Filament few years, OA has received considerable scholarly attention owing t

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Optimal energy management of fuel cell hybrid electric vehicle based on model predictive control and on-line mass estimation

Energy management strategies with prediction message show great potential in optimizing control objectives for fuel cell hybrid vehicles.This paper presents a novelty model-predictive-control based energy management framework for fuel cell commercial vehicle, in which the vehicle mass is firstly Filament introduced as a variable parameter for contr

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