Topic Editors

Dr. Satwinderjeet Kaur
Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar 143001, India
Department of Pharmaceutical Chemistry, College of Pharmacy, Taif University, Taif 21944, Saudi Arabia

Learning Machines and Drug Discovery: A New Era in Cancer

Abstract submission deadline
20 September 2024
Manuscript submission deadline
20 December 2024
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Topic Information

Dear Colleagues,

Over the last several decades, technological advancements have revolutionized computer science to enable improvements in monitoring, comprehension, and decision-making in the field of cancer drug discovery. The widespread use of IT has led the shift away from traditional methods to working mostly with computers in many sectors and domains. Especially when dealing with large amounts of data, computational techniques can be very useful. There is an abundance of relevant data available to support the development and use of computation technologies such as AI, ML, DS, and BM. For drug discovery, data mining has become popular despite the complexity of specific fields, such as biology and medicine. A drug’s failure to succeed after release is further complicated by safety, regulatory, chemical, and biological factors. Recent post-market losses have led to serious safety concerns being raised, especially in cancer fields. It is no secret that failed medications have killed thousands of people and wrecked economies and countries throughout history. Thus, computational methods awaiting development may allow prediction of whether molecules in the pipeline will fail post-marketing. This Special Issue serves as a platform for researchers in this field of cancer drug discovery to share their knowledge and experience with others.

Dr. Satwinderjeet Kaur
Dr. Atiah H. Almalki
Topic Editors


  • cancer
  • drug discovery
  • AI
  • cancer bioinformatics
  • deep learning

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
4.2 4.0 2012 18.8 Days CHF 2700 Submit
5.2 7.4 2009 18.2 Days CHF 2900 Submit
4.6 6.7 1996 13.6 Days CHF 2700 Submit
International Journal of Molecular Sciences
5.6 7.8 2000 16.8 Days CHF 2900 Submit
- - 2021 16.6 Days CHF 1000 Submit
Current Oncology
2.6 2.6 1994 18.4 Days CHF 2200 Submit

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