FPGA Implementation of IIR Notch and Anti-Notch Filters With an Application to Localization of Protein Hot-Spots

Area of Science:

• Digital Signal Processing
• Biophysics
• Hardware Acceleration

Background:

• Protein hot-spot identification is crucial for understanding protein function and interactions.
• Existing filtering techniques for hot-spot detection have limitations in accuracy and consistency.
• High-speed digital filter design is essential for real-time biological data analysis.

Purpose of the Study:

• To design and implement high-speed second-order Infinite Impulse Response (IIR) notch and anti-notch filters (NF/ANF) in hardware.
• To propose an improved approach for protein hot-spot detection using a designed second-order IIR ANF.
• To validate the proposed method's performance against classical filtering techniques and biological methodologies.

Main Methods:

• Design and hardware realization of second-order IIR NF and ANF using re-timing concepts.
• Development of a novel protein hot-spot detection approach utilizing the designed IIR ANF.
• Simulation and synthesis of filters on Xilinx Zynq-7000 series FPGA.
• Comparison of analytical and experimental results with IIR Chebyshev filter, S-transform, and biological methods.

Main Results:

• The designed ANF achieved specified stability margins and minimized amplitude area.
• The proposed ANF-based approach demonstrated superior hot-spot prediction accuracy compared to IIR Chebyshev filter and S-transform.
• The method showed consistent hot-spot prediction results aligned with biological methodologies.
• The technique successfully identified new potential protein hot-spots.

Conclusions:

• The developed high-speed second-order IIR ANF provides an effective tool for protein hot-spot detection.
• The proposed approach offers enhanced accuracy, consistency, and discovery potential in identifying protein functional sites.
• Hardware implementation on FPGA enables efficient processing for biological data analysis.