NDLI: On the Channel Capacity of High-Throughput Proteomic Microarrays

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Year : 2015 Volume : 1

Table of Contents

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications publication information

Editorial: Inaugural Issue of the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications

Joint Channel Parameter Estimation via Diffusive Molecular Communication

Molecular Versus Electromagnetic Wave Propagation Loss in Macro-Scale Environments

Internal Readout System for Molecular Recorders

Asynchronous Threshold-Based Detection for Quantity-Type-Modulated Molecular Communication Systems

On the Channel Capacity of High-Throughput Proteomic Microarrays

Capacity of Electron-Based Communication Over Bacterial Cables: The Full-CSI Case

A Dynamic Network Formation Model for Understanding Bacterial Self-Organization Into Micro-Colonies

Defining Communication at the Bottom

DRIH-MAC: A Distributed Receiver-Initiated Harvesting-Aware MAC for Nanonetworks

IEEE Communications Society Information

On the Channel Capacity of High-Throughput Proteomic Microarrays

Content Provider	IEEE Xplore Digital Library
Author	Khan, H.A. Chakrabartty, S.
Copyright Year	2015
Abstract	This paper examines the information transmission capacity of a high-density protein microarray based on an equivalent model of a multi-analyte molecular communication system. The capacity of the microarray is computed by taking into account the performance limiting factors such as channel diffusion characteristics, the channel noise and the saturation properties of the receptor probes. Our modeling study shows that using receptor probes with specific combinatorial properties can significantly improve the system capacity by facilitating joint detection of multiple analytes. This is in contrast to the conventional wisdom prevalent in the design of proteomic assays where the receptors are synthesized to be target specific with minimal levels of crossreactivity with non-specific targets. It is envisioned that the availability of capacity bounds will provide a more systematic approach for designing the receptors (antibodies, aptamers, or enzymes) since their binding properties can be optimized to maximize the assay throughput.
Starting Page	50
Ending Page	61
Page Count	12
File Size	2179379
File Format	PDF
ISSN	23722061
Volume Number	1
Issue Number	1
Language	English
Publisher Date	2015-01-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Mathematical model Probes Arrays Biological system modeling Noise Proteomics FEC Biosensors Protein Microarrays protein microarrays channel capacity high-throughput screening
Content Type	Text
Resource Type	Article

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