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Prediction of Protein Metal Binding Sites Using Deep Neural Networks
(2019)
Metals have crucial roles for many physiological, pathological and diagnostic processes. Metal binding proteins or metalloproteins are important for metabolism functions. The proteins that reach the three-dimensional ...
Preparation and characterization of novel albumin-sericin nanoparticles as siRNA delivery vehicle for laryngeal cancer treatment
(2019)
Small interfering RNA (siRNA)-based gene silencing strategy has high potential on suppressing specific molecular targets, involved in cancer progression. However, the lack of an effective nanocarrier system that safely ...
High-pressure effects on the benzene pre-crystallization metastable states
(2019)
We report new results on the liquid to solid phase transition of benzene. We determine experimentally and investigate the properties of a number of parameters of the benzene metastable state under different pressures (from ...
Numerical solution of linear inhomogeneous fuzzy delay differential equations
(2019)
We investigate inhomogeneous fuzzy delay differential equation (FDDE) in which initial function and source function are fuzzy. We assume these functions be in a special form, which we call triangular fuzzy function. We ...
On computer-aided prognosis of septic shock from vital signs
(2019)
Sepsis is a life-threatening condition due to the reaction to an infection. With certain changes in circulatory system, sepsis may progress to septic shock if it is left untreated. Therefore, early prognosis of septic shock ...
Understanding the Effect of Assignment of Importance Scores of Evaluation Criteria Randomly in the Application of DOE-TOPSIS in Decision Making
(2019)
In conventional applications of hybrid DoE-TOPSIS technique in decision making problems, full factorial design layouts are generally used because of their ability to measure the effects of all possible combinations for ...