Complex Networks, Bio-Molecular Systems, and Machine Learning
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 17127
Special Issue Editor
Interests: complex networks; bio-molecular systems; machine learning; cheminformatics; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
Both, Artificial Intelligence and/or Machine Learning (AI/ML) and Complex Networks algorithms are important tools for the computational study of molecular systems. Some of these methods are Artificial Neural Networks (ANN), Deep Learning Networks, Support Vector Machines (SVM), Random Forests (RF), Genetic Algorithms (GA), Deep Neural Networks (DNN), Deep Belief Networks (DBN), Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), etc. We can use structural parameters, molecular descriptors, experimental conditions, chemometrics measurements, etc. as input to train these AI/ML algorithms. As a reult we can obtain predictive models for Drug Discovery, Vaccine Design, Nanotechnoloy, etc.
Prof. Dr. Humberto González-Díaz
Guest Editor
Manuscript Submission Information
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Keywords
- Complex Networks
- Bio-molecular systems
- Protein Interaction Networks (PIN)
- Metabolic Pathway networks
- Brain Networks
- Social, Financial, and Legal Networks
- Machine Learning
- Bioinformatics
- Cheminformatics and Drug Discovery
- Graph theory
- Artificial Neural Networks
- Support Vector Machines
- Deep Learning