Paper Info
Title
FAST: a framework for simulation and analysis of large-scale protein-silicon biosensor circuits.
Abstract
This paper presents a computer aided design (CAD) framework for verification and reliability analysis of protein-silicon hybrid circuits used in biosensors. It is envisioned that similar to integrated circuit (IC) CAD design tools, the proposed framework will be useful for system level optimization of biosensors and for discovery of new sensing modalities without resorting to laborious fabrication and experimental procedures. The framework referred to as FAST analyzes protein-based circuits by solving inverse problems involving stochastic functional elements that admit non-linear relationships between different circuit variables. In this regard, FAST uses a factor-graph netlist as a user interface and solving the inverse problem entails passing messages/signals between the internal nodes of the netlist. Stochastic analysis techniques like density evolution are used to understand the dynamics of the circuit and estimate the reliability of the solution. As an example, we present a complete design flow using FAST for synthesis, analysis and verification of our previously reported conductometric immunoassay that uses antibody-based circuits to implement forward error-correction (FEC).
Year
DOI
Venue
2013
10.1109/TBCAS.2012.2222403
IEEE Trans. Biomed. Circuits and Systems
Keywords
DocType
Volume
biosensors,stochastic analysis techniques,biosensor circuit simulation,reliability analysis,computer aided design framework,proteins,verification,user interface,inverse problems,system level optimization,density evolution,biomolecular electronics,circuit cad,conductometric immunoassay,silicon,large-scale protein-silicon biosensor circuits,factor-graph netlist,simulation,biosensor circuit analysis,forward error correction,integrated circuit cad design tools,fast,message passing,antibody-based circuits,factor-graphs,forward error-correction,protein-based circuits,computer-aided design,stochastic functional elements,biomolecular circuit,circuit simulation
Journal
7
Issue
ISSN
Citations 
4
1940-9990
3
PageRank 
References 
Authors
0.45
4
2
Name
Order
Citations
PageRank
Ming Gu170.99
Shantanu Chakrabartty233564.30