Electrochemical biosensors based on peptide-kinase interactions at the kinase docking site

2021 ◽  
Author(s):  
Pralhad Namdev Joshi ◽  
Evgeniy Mervinetsky ◽  
Ohad Solomon ◽  
Yu-Ju Chen ◽  
Shlomo Yitzchaik ◽  
...  
Keyword(s):  
Gold Electrode ◽  
Electrochemical Impedance ◽  
Peptide Design ◽  
Docking Site ◽  
New Approach ◽  
Partner Protein ◽  
Alternative Approach ◽  
Multiple Substrate ◽  
High Level ◽  
Substrate Proteins

Kinases are important cancer biomarkers and are conventionally detected based on their catalytic activity. Kinases regulate cellular activities by phosphorylation of motif-specific multiple substrate proteins, resulting in a lack of selectivity of activity-based kinase biosensors. We present an alternative approach of sensing kinases based on the interactions of their allosteric docking sites with a specific partner protein. The new approach was demonstrated for the ERK2 kinase and its substrate ELK-1. A peptide derived from ELK-1 was bound to a gold electrode and ERK2 sensing was performed by electrochemical impedance spectroscopy. The sensors showed a high level of target selectivity for ERK2 when compared with p38gamma kinase and BSA. ERK2 was detected in its cellular concentration range, 0.2-8.0 microM. Using the flexibility of peptide design, our method is generic for developing sensitive and substrate-specific biosensors and other disease-related enzymes based on their interactions.

scholarly journals Molecular Recognition: Perspective and a New Approach

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2757
Author(s):  
W. Rudolf Seitz ◽  
Casey J. Grenier ◽  
John R. Csoros ◽  
Rongfang Yang ◽  
Tianyu Ren
Keyword(s):  
Molecular Recognition ◽  
Molecularly Imprinted Polymers ◽  
Binding Sites ◽  
Binding Kinetics ◽  
Molecularly Imprinted ◽  
New Approach ◽  
Imprinted Polymers ◽  
High Affinity ◽  
Water Blocking ◽  
High Level

This perspective presents an overview of approaches to the preparation of molecular recognition agents for chemical sensing. These approaches include chemical synthesis, using catalysts from biological systems, partitioning, aptamers, antibodies and molecularly imprinted polymers. The latter three approaches are general in that they can be applied with a large number of analytes, both proteins and smaller molecules like drugs and hormones. Aptamers and antibodies bind analytes rapidly while molecularly imprinted polymers bind much more slowly. Most molecularly imprinted polymers, formed by polymerizing in the presence of a template, contain a high level of covalent crosslinker that causes the polymer to form a separate phase. This results in a material that is rigid with low affinity for analyte and slow binding kinetics. Our approach to templating is to use predominantly or exclusively noncovalent crosslinks. This results in soluble templated polymers that bind analyte rapidly with high affinity. The biggest challenge of this approach is that the chains are tangled when the templated polymer is dissolved in water, blocking access to binding sites.

Transient Analysis and Simulation of Pitting Corrosion for the Estimation of Noise Resistance

CORROSION ◽  
2000 ◽  
Vol 56 (9) ◽  
pp. 928-934
Author(s):  
G. Miramontes de León ◽  
D. C. Farden ◽  
D. E. Tallman
Keyword(s):  
Computer Simulation ◽  
Pitting Corrosion ◽  
Transient Analysis ◽  
Electrochemical Noise ◽  
Electrochemical Impedance ◽  
Transient Behavior ◽  
Noise Resistance ◽  
New Approach ◽  
Noise Data ◽  
Current Transients

Abstract A new approach for the measurement of noise resistance based on the transient behavior of pitting corrosion is presented. Potential noise and current transients have been recognized as a characteristic behavior of pitting corrosion. This new approach uses the transient information present during corrosion as a way to estimate the noise resistance of coated metals directly. Computer simulation and analytical results are presented, indicating that the new technique can be applied to the problem of noise resistance estimation. This new approach was applied to experimental electrochemical noise data obtained with commercial electrochemical impedance spectroscopy (EIS)/electrochemcial noise measurement (ENM) equipment.

4D Einstein equations in a general gauge Kaluza–Klein space

2015 ◽  
Vol 12 (03) ◽  
pp. 1550036
Author(s):  
Aurel Bejancu ◽  
Constantin Călin
Keyword(s):  
Einstein Equations ◽  
Tensor Fields ◽  
New Approach ◽  
Higher Dimensional ◽  
High Level ◽  
General Gauge ◽  
Kaluza Klein

Using the new approach on higher-dimensional Kaluza–Klein theories developed by the first author, we obtain the 4D Einstein equations on a (4 + n)D relativistic gauge Kaluza–Klein space. Adapted frame and coframe fields, adapted tensor fields, and the Riemannian adapted connection, have a fundamental role in the study. The high level of generality of the study, enables us to recover several results from earlier papers on this matter.

ACRIPPER: A New Associative Classification Based on RIPPER Algorithm

2021 ◽  
Vol 20 (01) ◽  
pp. 2150013
Author(s):  
Mohammed Abu-Arqoub ◽  
Wael Hadi ◽  
Abdelraouf Ishtaiwi
Keyword(s):  
Decision Making ◽  
Class Imbalance ◽  
The Other ◽  
Associative Classification ◽  
Rule Based ◽  
New Approach ◽  
New Novel ◽  
Accuracy Measure ◽  
High Level ◽  
Substantial Interest

Associative Classification (AC) classifiers are of substantial interest due to their ability to be utilised for mining vast sets of rules. However, researchers over the decades have shown that a large number of these mined rules are trivial, irrelevant, redundant, and sometimes harmful, as they can cause decision-making bias. Accordingly, in our paper, we address these challenges and propose a new novel AC approach based on the RIPPER algorithm, which we refer to as ACRIPPER. Our new approach combines the strength of the RIPPER algorithm with the classical AC method, in order to achieve: (1) a reduction in the number of rules being mined, especially those rules that are largely insignificant; (2) a high level of integration among the confidence and support of the rules on one hand and the class imbalance level in the prediction phase on the other hand. Our experimental results, using 20 different well-known datasets, reveal that the proposed ACRIPPER significantly outperforms the well-known rule-based algorithms RIPPER and J48. Moreover, ACRIPPER significantly outperforms the current AC-based algorithms CBA, CMAR, ECBA, FACA, and ACPRISM. Finally, ACRIPPER is found to achieve the best average and ranking on the accuracy measure.

scholarly journals HISTORY EDUCATION IN CURRICULUM 2013: A NEW APPROACH TO TEACHING HISTORY

2013 ◽  
Vol 14 (1) ◽  
pp. 163 ◽  
Author(s):  
Said Hamid Hasan
Keyword(s):  
Lesson Plan ◽  
Student Learning Outcomes ◽  
Historical Events ◽  
Paper Test ◽  
New Approach ◽  
Teaching History ◽  
Assessment Of Student Learning ◽  
Pencil And Paper ◽  
Amount Of Knowledge ◽  
High Level

There has been so many findings and thoughts indicating that teaching history is dominated by what teachers tell of what happened in the past as it is written in the textbooks or reference books. Students listen, read, and memorize the narration and the more details the student could memorize the higher mark she/he will get. The plan for teaching history, syllabus or lesson plan, shows a high level of consistency amongst the learning objectives, teaching processes, and assessment of student learning outcomes. Memorize of historical facts and the reproduction of historical narratives as indication of student’s understanding of historical events, the transmission of information from teacher to student to realize the objectives, and the use of pencil and paper test to assess student level of achievement are the common practices in school from primary to secondary education. It would be no surprise if teaching history at the higher level of education would follow the same path. Public still consider a good scholar or historian in this case, is measured by the amount of knowledge she/he can memorize and she/he should be able to answer some many questions of the facts of historical events. In fact, there is no question of how many a student has in her/his memory apart from what is questioned.

A New Approach for a Simulation-Based Prediction of Torsional Chatter in Deep Hole Drilling With Extra-Long Twist Drills

2013 ◽  
Author(s):  
E. Abele ◽  
D. Schäfer
Keyword(s):  
General Structure ◽  
Cutting Parameters ◽  
Torsional Stiffness ◽  
Hole Drilling ◽  
New Approach ◽  
Process Dynamics ◽  
Chatter Vibrations ◽  
Simulation Based ◽  
High Level ◽  
Twist Drills

Numerous investigations work on torsional chatter vibrations in drilling. Particularly in terms of productivity, torsional chatter is detrimental because of a reduction of tool life and an undesirably high level of noise emissions due to the increased process dynamics. To achieve a deeper understanding of the process dynamics, a new numerical simulation model was developed to predict torsional chatter for extra-long twist drills. It is used to determine the influence of numerous factors such as cutting parameters, drill torsional stiffness, rotary moment of inertia and torsional-axial coupling. In this paper, the general structure of the model and the tool model is presented.

Design of Automatic Measurement System of Lithium Battery Electrochemical Impedance Spectroscopy Based on Microcomputer

2012 ◽  
Vol 241-244 ◽  
pp. 259-264 ◽  
Author(s):  
Wang Li ◽  
Gen Wang Liu ◽  
Fu He Yang
Keyword(s):  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
High Precision ◽  
Measurement System ◽  
Lithium Battery ◽  
Electrochemical Impedance ◽  
Low Cost ◽  
Automatic Measurement ◽  
Response Curves ◽  
High Level

A system of miniaturized lithium battery electrochemical impedance spectroscopy (EIS) measurement is designed with high precision impedance converter chip AD5933 as its core. The measurement range of the system is from 0.010Hz to 100 KHz. Meanwhile, by using a high-level programming language of C#, an interface is developed which can real-time graphic display of EIS information. Through measurement and analysis of two types of impedance, the results show that detection precision of the system is less than 3.5%. Finally, amplitude-frequency response curves and Nyquist plots of HL-18650 M lithium battery at different state of charge (SOC) levels are measured. Compared with lithium battery EIS measurement system by traditional division, this system has the outstanding advantages of small size, high level of integration, low cost, simple operation and high precision. It is helpful to the mass production and application of lithium battery EIS measurement system.

Interpolation Methods Applied on Biomolecules and Condensed Matter Brownian Motion

2021 ◽  
Author(s):  
Sanja Aleksic ◽  
Bojana Markovic ◽  
Vojislav V. Mitic ◽  
Dusan Milosevic ◽  
Mimica Milosevic ◽  
...  
Keyword(s):  
Brownian Motion ◽  
Condensed Matter ◽  
Particle Systems ◽  
Fractal Nature ◽  
New Approach ◽  
Motion Data ◽  
Joint Properties ◽  
Physical Particle ◽  
High Level ◽  
Advanced Development

Biophysical and condensed matter systems connection is of great importance nowadays due to the need for a new approach in microelectronic biodevices, biocomputers or biochips advanced development. Considering that the living and nonliving systems’ submicroparticles are identical, we can establish the biunivocally correspondent relation between these two particle systems, as a biomimetic correlation based on Brownian motion fractal nature similarities, as the integrative property. In our research, we used the experimental results of bacterial motion under the influence of energetic impulses, like music, and also some biomolecule motion data. Our goal is to define the relation between biophysical and physical particle systems, by introducing mathematical analytical forms and applying Brownian motion fractal nature characterization and fractal interpolation. This work is an advanced research in the field of new solutions for high-level microelectronic integrations, which include submicrobiosystems like part of even organic microelectronic considerations, together with some physical systems of particles in solid-state solutions as a nonorganic part. Our research is based on Brownian motion minimal joint properties within the integrated biophysical systems in the wholeness of nature.

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