TY - GEN
T1 - A coprocessor architecture for fast protein structure prediction
AU - Marolia, M.
AU - Khoja, R.
AU - Acharya, T.
AU - Chakrabarti, Chaitali
PY - 2005
Y1 - 2005
N2 - Predicting protein structure from amino acid sequence is computationally very intensive. In order to speed up protein sequence matching and processing, it is necessary to develop special purpose VLSI architectures that exploit the underlying computational structures. In this paper, we present a coprocessor architecture for fast protein structure prediction based on the PSIPRED algorithm. The architecture consists of systolic arrays to speed up the data intensive sequence alignment and structure prediction steps, and finite state machines for the control dominated steps. The architecture has been synthesized using Synopsis DC Compiler using 0.18 μm CMOS technology. The synthesized architecture requires 783,228 units of gate area and 226KB of memory, and can be clocked at 100 MHz. The architecture processes amino acid sequences extremely fast; for a database of 135,000,000 amino acids, the secondary structure of a query sequence of length ∼150 amino acids can be predicted in ∼11 seconds.
AB - Predicting protein structure from amino acid sequence is computationally very intensive. In order to speed up protein sequence matching and processing, it is necessary to develop special purpose VLSI architectures that exploit the underlying computational structures. In this paper, we present a coprocessor architecture for fast protein structure prediction based on the PSIPRED algorithm. The architecture consists of systolic arrays to speed up the data intensive sequence alignment and structure prediction steps, and finite state machines for the control dominated steps. The architecture has been synthesized using Synopsis DC Compiler using 0.18 μm CMOS technology. The synthesized architecture requires 783,228 units of gate area and 226KB of memory, and can be clocked at 100 MHz. The architecture processes amino acid sequences extremely fast; for a database of 135,000,000 amino acids, the secondary structure of a query sequence of length ∼150 amino acids can be predicted in ∼11 seconds.
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U2 - 10.1109/SIPS.2005.1579904
DO - 10.1109/SIPS.2005.1579904
M3 - Conference contribution
AN - SCOPUS:33846957082
SN - 0780393341
SN - 9780780393349
T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
SP - 413
EP - 418
BT - SiPS 2005
T2 - SiPS 2005: IEEE Workshop on Signal Processing Systems - Design and Implementation
Y2 - 2 November 2005 through 4 November 2005
ER -