2026-04-29T06:16:13Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/233152024-11-29T03:47:29Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud
author
Frasser, Christiam F
author
de Benito, Carola
author
Skibinsky-Gitlin, Erik S
author
Canals, Vincent
author
Font-Rossello, Joan
author
Roca, Miquel
author
Ballester, Pedro J
author
Rossello, Josep L
2024-09-18T06:44:06Z
2024-09-18T06:44:06Z
2021-12
Frasser CF, de Benito C, Skibinsky-Gitlin ES, Canals V, Font-Rossello J, Roca M, et al. Using Stochastic Computing for Virtual Screening Acceleration. Electronics. 2021 Dec;10(23):2981.
https://hdl.handle.net/20.500.13003/19897
https://hdl.handle.net/20.500.12105/23315
10.3390/electronics10232981
2079-9292
Electronics
2-s2.0-85120163496
735223300001
Stochastic computing is an emerging scientific field pushed by the need for developing high-performance artificial intelligence systems in hardware to quickly solve complex data processing problems. This is the case of virtual screening, a computational task aimed at searching across huge molecular databases for new drug leads. In this work, we show a classification framework in which molecules are described by an energy-based vector. This vector is then processed by an ultra-fast artificial neural network implemented through FPGA by using stochastic computing techniques. Compared to other previously published virtual screening methods, this proposal provides similar or higher accuracy, while it improves processing speed by about two or three orders of magnitude.
eng
Stochastic computing
Hardware acceleration
Virtual screening
Using Stochastic Computing for Virtual Screening Acceleration
research article