@book{
 title = {VLSI Implementation of Tunable Band-Pass Notch IIR Filter for Localization of Hot spots in Proteins},
 type = {book},
 year = {2021},
 source = {Lecture Notes in Electrical Engineering},
 keywords = {IEEE-754 floating point standard,IIR digital filter,Protein hot spot detection,Proteomics},
 volume = {673},
 id = {21a7dfe9-449a-3d87-80a2-dbfa84fa2f0b},
 created = {2020-10-12T23:59:00.000Z},
 file_attached = {false},
 profile_id = {11ae403c-c558-3358-87f9-dadc957bb57d},
 last_modified = {2020-10-15T07:16:45.874Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. A tunable band-pass notch (BPN) IIR digital filter (including zero phase filtering) is proposed by Ramachandran et al. in 2009 to detect the hot spot regions in proteins. The hot spots are the locations of amino acids at which proteins communicate with each other to achieve biological functions. In this paper, the tuning technique of above BPN filter is modified as per the characteristics frequency of protein functional group. The VLSI architecture of this tuned filter is developed and synthesized using Artix-7 family FPGA. The implemented architecture performance is compared with that obtained by MATLAB for FGF protein family. It is observed that the hardware provides approximately 51 times faster results than MATLAB run time.},
 bibtype = {book},
 author = {Pathak, V. and Nanda, S.J. and Joshi, A.M. and Sahu, S.S.},
 doi = {10.1007/978-981-15-5546-6_48}
}

{"_id":"5EAiikxRnf8AxYnxg","bibbaseid":"pathak-nanda-joshi-sahu-vlsiimplementationoftunablebandpassnotchiirfilterforlocalizationofhotspotsinproteins-2021","author_short":["Pathak, V.","Nanda, S.","Joshi, A.","Sahu, S."],"bibdata":{"title":"VLSI Implementation of Tunable Band-Pass Notch IIR Filter for Localization of Hot spots in Proteins","type":"book","year":"2021","source":"Lecture Notes in Electrical Engineering","keywords":"IEEE-754 floating point standard,IIR digital filter,Protein hot spot detection,Proteomics","volume":"673","id":"21a7dfe9-449a-3d87-80a2-dbfa84fa2f0b","created":"2020-10-12T23:59:00.000Z","file_attached":false,"profile_id":"11ae403c-c558-3358-87f9-dadc957bb57d","last_modified":"2020-10-15T07:16:45.874Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":false,"abstract":"© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. A tunable band-pass notch (BPN) IIR digital filter (including zero phase filtering) is proposed by Ramachandran et al. in 2009 to detect the hot spot regions in proteins. The hot spots are the locations of amino acids at which proteins communicate with each other to achieve biological functions. In this paper, the tuning technique of above BPN filter is modified as per the characteristics frequency of protein functional group. The VLSI architecture of this tuned filter is developed and synthesized using Artix-7 family FPGA. The implemented architecture performance is compared with that obtained by MATLAB for FGF protein family. It is observed that the hardware provides approximately 51 times faster results than MATLAB run time.","bibtype":"book","author":"Pathak, V. and Nanda, S.J. and Joshi, A.M. and Sahu, S.S.","doi":"10.1007/978-981-15-5546-6_48","bibtex":"@book{\n title = {VLSI Implementation of Tunable Band-Pass Notch IIR Filter for Localization of Hot spots in Proteins},\n type = {book},\n year = {2021},\n source = {Lecture Notes in Electrical Engineering},\n keywords = {IEEE-754 floating point standard,IIR digital filter,Protein hot spot detection,Proteomics},\n volume = {673},\n id = {21a7dfe9-449a-3d87-80a2-dbfa84fa2f0b},\n created = {2020-10-12T23:59:00.000Z},\n file_attached = {false},\n profile_id = {11ae403c-c558-3358-87f9-dadc957bb57d},\n last_modified = {2020-10-15T07:16:45.874Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. A tunable band-pass notch (BPN) IIR digital filter (including zero phase filtering) is proposed by Ramachandran et al. in 2009 to detect the hot spot regions in proteins. The hot spots are the locations of amino acids at which proteins communicate with each other to achieve biological functions. In this paper, the tuning technique of above BPN filter is modified as per the characteristics frequency of protein functional group. The VLSI architecture of this tuned filter is developed and synthesized using Artix-7 family FPGA. The implemented architecture performance is compared with that obtained by MATLAB for FGF protein family. It is observed that the hardware provides approximately 51 times faster results than MATLAB run time.},\n bibtype = {book},\n author = {Pathak, V. and Nanda, S.J. and Joshi, A.M. and Sahu, S.S.},\n doi = {10.1007/978-981-15-5546-6_48}\n}","author_short":["Pathak, V.","Nanda, S.","Joshi, A.","Sahu, S."],"biburl":"https://bibbase.org/service/mendeley/11ae403c-c558-3358-87f9-dadc957bb57d","bibbaseid":"pathak-nanda-joshi-sahu-vlsiimplementationoftunablebandpassnotchiirfilterforlocalizationofhotspotsinproteins-2021","role":"author","urls":{},"keyword":["IEEE-754 floating point standard","IIR digital filter","Protein hot spot detection","Proteomics"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"book","biburl":"https://bibbase.org/service/mendeley/11ae403c-c558-3358-87f9-dadc957bb57d","dataSources":["2252seNhipfTmjEBQ"],"keywords":["ieee-754 floating point standard","iir digital filter","protein hot spot detection","proteomics"],"search_terms":["vlsi","implementation","tunable","band","pass","notch","iir","filter","localization","hot","spots","proteins","pathak","nanda","joshi","sahu"],"title":"VLSI Implementation of Tunable Band-Pass Notch IIR Filter for Localization of Hot spots in Proteins","year":2021}