Special Issue "Algorithmic Themes in Bioinformatics and Computational Biology"
Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 15680
Interests: bioinformatics; parallel computing; deep learning; protein classification; genome assembly
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Deep-learning methods have shown spectacular performance in fields such as computer vision and natural language processing. These approaches have made it possible to envisage the treatment of complex bioinformatic problems, especially in drug discovery, computational biology, bio-ontology representation, etc. A rich body of recent literature documents the capacity of deep-learning approaches that have led to remarkable results in these fields. However, they also come with a new set of challenges, such as the limited interpretability of models.
This Special Issue seeks the latest fundamental advances in addressing the challenges of computational biology. Specifically, this issue will explore the latest deep-learning-based methods in biology and studies of biological complex data, drug discovery, and related areas.
We invite scientists working in this area to submit their original research or review articles for publication in this Special Issue. The topics of interest include (but are not limited to) the prediction of ADME properties, predicting drug–target affinity, and lead optimization. Both application and methodological research studies are welcome.
Prof. Dr. Quan Zou
Dr. Chunyu Wang
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Deep learning
- Computational biology
- Drug discovery
- Molecular property prediction