Proteins Allow the movement of ions across cell membrane - - PowerPoint PPT Presentation

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Feb 20, 2023 20 likes •468 views

Proteins Allow the movement of ions across cell membrane Extremely specific gateways Cuero Lab Cuero Lab High recognition for transport of iron Can specify other ions (vanadium, nickel, etc.) Ions release protons (H + )

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Cuero Lab

Proteins
Allow the movement of ions across cell

membrane

Extremely specific gateways

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Cuero Lab

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Cuero Lab

High recognition for transport of iron

– Can specify other ions (vanadium, nickel, etc.)

Ions release protons (H+) into cell and

deposit electrons inside plasma membrane

Receptors embedded in membrane

receive electrons

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Cuero Lab

Cytochrome C

– its role in the E.T.C-carrying electrons- produces ATP-more DNA- more cell replication – overall enhancing our biosensor

Help produce a sensor that can detect

metals in low concentrations.

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Cuero Lab

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Cuero Lab

Computational-Modeling Synthetic Biology

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Artificial Neural Network Modeling of A Molecular Biosensor

Neural Networks
Use of the artificial neural

network

Preliminary training of the

network

Results
Principle units of metal

biosensor

Future work
electronic Nose (eNose)
Application of the eNose to the

molecular sensing device

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Artificial Neural Network Modeling

f A Molecular Biosensor

From the biggest brain……. To the smallest brain…..

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Artificial Neural Network Modeling

f the Molecular Biosensor

Connections

Information Actions

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Representation of a layer of a neural network

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Preliminary Network

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Training by fitting to a function

Training using back propagation

– Select function in matlab library to fit data – Find error, and compare to target error – General error function: – Finally select function that gives least error – Sigmoid function:

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Validation of network performance

Select representative data from data used

in training step

Input selected data into the network and

compare closeness of fit

Closeness determines the correctness of

the transfer function eg.

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Testing performance

Select data that was not used in testing

and validation datasets

Compare network output to actual value

from experimental data

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Matlab representation

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Results (Cont’d)

Performance of network

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Emergent Representation

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Results

Example of data for training, validation,

and testing the neural network

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Principle units of the metal Biosensor

Fluorescence Ion(s) in solution Biosensor Neural Network

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Principle units of the metal Biosensor

Fluorescence Ion(s) in solution Biosensor Neural Network

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Comparison (Theoretical vs Actual)

1000 2000 3000 4000 5000 6000 7000 2 4 6 8 10 12 Actual Predicted

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What is the eNose? An eNose is an analytic device originally used for detecting chemicals and their concentrations in vapors How can this be applied to the metal ion sensor? By finding the functional relationship, which is the response to the concentration and type of metal

Electronic Nose (eNose)

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The fundamental eNose algorithm relies on the equations:

where

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Future Work

Experimental data for individual metal ion protein sequence, and

ligations

Wider range of variation in the concentrations
Data from rejected samples to determine the reliability of network
The completion of the final network to identify the ion as well as it’s

corresponding concentration

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Principle units of the metal Biosensor

Metal Ion Concentration Ions in solution Biosensor Neural Network

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