Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions

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Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions Publisher

Jamshidi MB^{1, 2} ; Lalbakhsh A³ ; Talla J^{1, 2} ; Peroutka Z^{1, 2} ; Roshani S⁴ ; Matousek V⁵ ; Roshani S⁴ ; Mirmozafari M⁶ ; Malek Z⁷ ; La Spada L⁸ ; Sabet A⁹ ; Dehghani M¹⁰ ; Jamshidi M¹¹ ; Honari MM¹² Show All Authors

Jamshidi MB^{1, 2}
Lalbakhsh A³
Talla J^{1, 2}
Peroutka Z^{1, 2}
Roshani S⁴
Matousek V⁵
Roshani S⁴
Mirmozafari M⁶
Malek Z⁷
La Spada L⁸
Sabet A⁹
Dehghani M¹⁰
Jamshidi M¹¹
Honari MM¹²
Hadjilooei F¹³
Jamshidi A¹⁴
Lalbakhsh P¹⁵
Hashemidezaki H¹
Ahmadi S¹⁶
Lotfi S¹⁷

Source: Studies in Systems# Decision and Control Published:2021

Abstract

The world is in a frustrating situation, which is exacerbating due to the time-consuming process of the COVID-19 vaccine design and production. This chapter provides a comprehensive investigation of fundamentals, state-of-the-art and some perspectives to speed up the process of the design, optimization and production of the medicine for COVID-19 based on Deep Learning (DL) methods. The proposed platforms are able to be used as predictors to forecast antigens during the infection disregarding their abundance and immunogenicity with no requirement of growing the pathogen in vitro. First, we briefly survey the latest achievements and fundamentals of some DL methodologies, including Deep Boltzmann Machines (DBM), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Hopfield network and Long Short-Term Memory(LSTM). These techniques help us to reach an integrated approach for drug development by non-conventional antigens. We then propose several DL-based platforms to utilize for future applications regarding the latest publications and medical reports. Considering the evolving date on COVID-19 and its ever-changing nature, we believe this survey can give readers some useful ideas and directions to understand the application of Artificial Intelligence (AI) to accelerate the vaccine design not only for COVID-19 but also for many different diseases or viruses. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Style	Citing Format
MLA	Jamshidi MB, et al.. "Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions." Studies in Systems# Decision and Control, vol. 348, no. , 2021, pp. 9-31.
APA	Jamshidi MB, Lalbakhsh A, Talla J, Peroutka Z, Roshani S, Matousek V, Roshani S, Mirmozafari M, Malek Z, La Spada L, Sabet A, Dehghani M, Jamshidi M, Honari MM, Hadjilooei F, Jamshidi A, Lalbakhsh P, Hashemidezaki H, Ahmadi S, Lotfi S (2021). Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions. Studies in Systems# Decision and Control, 348(), 9-31.
Chicago	Jamshidi MB, Lalbakhsh A, Talla J, Peroutka Z, Roshani S, Matousek V, Roshani S, et al.. "Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions." Studies in Systems# Decision and Control 348, no. (2021): 9-31.
Harvard	Jamshidi MB et al. (2021) 'Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions', Studies in Systems# Decision and Control, 348(), pp. 9-31.
Vancouver	Jamshidi MB, Lalbakhsh A, Talla J, Peroutka Z, Roshani S, Matousek V, et al.. Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions. Studies in Systems# Decision and Control. 2021;348():9-31.
BibTex	@article{ author = {Jamshidi MB and Lalbakhsh A and Talla J and Peroutka Z and Roshani S and Matousek V and Roshani S and Mirmozafari M and Malek Z and La Spada L and Sabet A and Dehghani M and Jamshidi M and Honari MM and Hadjilooei F and Jamshidi A and Lalbakhsh P and Hashemidezaki H and Ahmadi S and Lotfi S}, title = {Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions}, journal = {Studies in Systems# Decision and Control}, volume = {348}, number = {}, pages = {9-31}, year = {2021} }
RIS	TY - JOUR AU - Jamshidi MB AU - Lalbakhsh A AU - Talla J AU - Peroutka Z AU - Roshani S AU - Matousek V AU - Roshani S AU - Mirmozafari M AU - Malek Z AU - La Spada L AU - Sabet A AU - Dehghani M AU - Jamshidi M AU - Honari MM AU - Hadjilooei F AU - Jamshidi A AU - Lalbakhsh P AU - Hashemidezaki H AU - Ahmadi S AU - Lotfi S TI - Deep Learning Techniques and Covid-19 Drug Discovery: Fundamentals, State-Of-The-Art and Future Directions JO - Studies in Systems# Decision and Control VL - 348 IS - SP - 9 EP - 31 PY - 2021 ER -