Understanding the Structure and Apo Dynamics of the Functionally Active JIP1 Fragment.
Neda OjaghlouJustin AirasLauren M McRaeCooper A TaylorBill R MillerCarol A ParishPublished in: Journal of chemical information and modeling (2020)
Recent experiments indicate that the C-Jun amino-terminal kinase-interacting protein 1 (JIP1) binds to and activates the c-Jun N-terminal kinase (JNK) protein. JNK is an integral part of cell apoptosis, and misregulation of this process is a causative factor in diseases such as Alzheimer's disease (AD), obesity, and cancer. It has also been shown that JIP1 may increase the phosphorylation of tau by facilitating the interaction between the tau protein and JNK, which could also be a causative factor in AD. Very little is known about the structure and dynamics of JIP1; however, the amino acid composition of the first 350 residues suggests that it contains an intrinsically disordered region. Molecular dynamics (MD) simulations using AMBER 14 were used to study the structure and dynamics of a functionally active JIP1 10mer fragment to better understand the solution behavior of the fragment. Two microseconds of unbiased MD was performed on the JIP1 10mer fragment in 10 different seeds for a total of 20 μs of simulation time, and from this, seven structurally stable conformations of the 10mer fragment were identified via classical clustering. The 10mer ensemble was also used to build a Markov state model (MSM) that identified four metastable states that encompassed six of the seven conformational families identified by classical dimensional reduction. Based on this MSM, conformational interconversions between the four states occur via two dominant pathways with probability fluxes of 55 and 44% for each individual pathway. Transitions between the initial and final states occur with mean first passage times of 31 (forward) and 16 (reverse) μs.
Keyphrases
- molecular dynamics
- amino acid
- density functional theory
- protein kinase
- signaling pathway
- cell death
- protein protein
- induced apoptosis
- men who have sex with men
- metabolic syndrome
- cerebrospinal fluid
- insulin resistance
- body mass index
- tyrosine kinase
- cell proliferation
- small molecule
- machine learning
- papillary thyroid
- hepatitis c virus
- convolutional neural network
- endoplasmic reticulum stress
- hiv infected
- adipose tissue
- deep learning
- weight gain
- lymph node metastasis