Research Topic

Artificial Intelligence in Bioinformatics and Drug Repurposing: Methods and Applications

About this Research Topic

The development of Artificial Intelligence (AI) pushes the boundaries of new computing paradigms to become actual realities for many science and engineering challenges. The delicacy and agility of a computing paradigm do not mean anything when we cannot use it to create values and solve problems. Bioinformatics and drug repurposing provide excellent playgrounds and test fields for AI to exercise its maximum capacities. Bioinformatics is an interdisciplinary field that covers a broad spectrum of studies including the fields of biology, computer science, information science, and statistics. The nature of the field intrinsically attracts complicated research and application problems. Drug repurposing (DR), also known as drug reprofiling or drug reusing, has been a trending field of research since 2004, which attracts the attention of researchers from medicine, pharmacy, biochemistry, and other related fields. Drug reposition is a process of discovering novel uses and therapeutic applications of existing drugs.

This Research Topic aims to cover recent advancements in bioinformatics with a special focus on using artificial intelligence in service of the analysis and interpretation of DNA sequences, DNA structures, various genomic data, drug target affinity/interaction, and protein ligand interaction. The objective is to provide a comprehensive and the latest collection of research and experimental works in these fields. The collection endeavors to tackle artificial intelligence from a less conventional aspect. Rather than cover AI and machine learning capabilities in more typical fields like engineering, we would like to cover themes in some unique fields, i.e., computational genomics and bioinformatics drug repurposing.

Themes covered in this Research Topic include:
• Machine learning applications in:
 o DNA structure analysis
 o DNA sequence analysis
 o Pattern finding in genomic data
• AI methods and applications in:
 o Drug discovery
 o Drug finding
 o Drug molecule and disease protein mapping
 o Various binding affinity prediction
 o Computational biology
 o Bioinformatics
• Innovative drug encapsulation and delivery methods and mechanisms
• DNA computing
• DNA-based computational models


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The development of Artificial Intelligence (AI) pushes the boundaries of new computing paradigms to become actual realities for many science and engineering challenges. The delicacy and agility of a computing paradigm do not mean anything when we cannot use it to create values and solve problems. Bioinformatics and drug repurposing provide excellent playgrounds and test fields for AI to exercise its maximum capacities. Bioinformatics is an interdisciplinary field that covers a broad spectrum of studies including the fields of biology, computer science, information science, and statistics. The nature of the field intrinsically attracts complicated research and application problems. Drug repurposing (DR), also known as drug reprofiling or drug reusing, has been a trending field of research since 2004, which attracts the attention of researchers from medicine, pharmacy, biochemistry, and other related fields. Drug reposition is a process of discovering novel uses and therapeutic applications of existing drugs.

This Research Topic aims to cover recent advancements in bioinformatics with a special focus on using artificial intelligence in service of the analysis and interpretation of DNA sequences, DNA structures, various genomic data, drug target affinity/interaction, and protein ligand interaction. The objective is to provide a comprehensive and the latest collection of research and experimental works in these fields. The collection endeavors to tackle artificial intelligence from a less conventional aspect. Rather than cover AI and machine learning capabilities in more typical fields like engineering, we would like to cover themes in some unique fields, i.e., computational genomics and bioinformatics drug repurposing.

Themes covered in this Research Topic include:
• Machine learning applications in:
 o DNA structure analysis
 o DNA sequence analysis
 o Pattern finding in genomic data
• AI methods and applications in:
 o Drug discovery
 o Drug finding
 o Drug molecule and disease protein mapping
 o Various binding affinity prediction
 o Computational biology
 o Bioinformatics
• Innovative drug encapsulation and delivery methods and mechanisms
• DNA computing
• DNA-based computational models


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

25 January 2021 Abstract
31 May 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

25 January 2021 Abstract
31 May 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..