Related Experiment Video
Updated: Feb 2, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Cancer Biology Aspects of Computational Methods & Applications in Drug Discovery
Shang-Tao Chien1, Ajay Kumar2,3, Shifa Pandey4
1Department of Pathology, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.
Background:
Cancer is one of the most debilitating diseases worldwide; even though advances in molecular and cellular biology have contributed to the decline of mortality associated with cancer, the procedure of drug discovery and development of cancer are time-consuming and expensive. However, with computer-aided drug discovery (CADD) techniques, pharmaceutical firms can save production costs and reduce the time of introducing effective anticancer drugs for clinical trials. CADD strategies like structure-based drug designing, ligandbased drug designing, and combined structure-based and ligand-based approaches also have the advantage of identifying target sites and discovering active compounds with high affinity for the target sites. In this article, research carried out on cancer biology aspect of the computational approaches in drug discovery technology have been reviewed.
Objective:
The main objective of the study is to identify the potential causes and the development of the cancer. In addition to this, its recovery has been discussed briefly.
Conclusion:
Our findings indicate that only a few studies have been carried out regarding this area. Hence, it is recommended that further researches should be conducted on the computational methods for identifying candidate drugs for breast, pancreatic, colon, prostate, and other types of cancer.
Insights
Computer-aided drug discovery (CADD) accelerates the identification of effective anticancer drugs, reducing costs and time. Further research is recommended to explore CADD for various cancer types.
Area of Science:
- Oncology
- Computational Chemistry
- Drug Discovery
Background:
- Cancer remains a leading global health challenge, with traditional drug development being lengthy and costly.
- Advances in molecular and cellular biology have improved outcomes, but efficient drug discovery is crucial.
- Computer-aided drug discovery (CADD) offers a solution to reduce costs and accelerate the timeline for anticancer drug development.
Purpose of the Study:
- To review computational approaches in drug discovery concerning cancer biology.
- To identify potential causes and development pathways of cancer.
- To briefly discuss cancer recovery strategies.
Main Methods:
- Review of existing research on computational methods in cancer drug discovery.
- Exploration of CADD strategies including structure-based and ligand-based drug design.
- Analysis of computational approaches for identifying cancer targets and active compounds.
Main Results:
- The study highlights the potential of CADD in streamlining drug discovery processes.
- CADD strategies can identify target sites and discover compounds with high target affinity.
- A review of computational approaches applied to cancer biology is presented.
Conclusions:
- Limited research currently exists on computational methods for cancer drug discovery.
- Further investigation into CADD for various cancers (breast, pancreatic, colon, prostate) is recommended.
- Computational methods show promise for identifying candidate drugs across diverse cancer types.
Related Concept Videos
Drug Discovery: Overview
Quantitative Aspects of Drug-Receptor Interaction
Applications Of NMR In Biology
Factors Affecting Drug Biotransformation: Biological
Species differences: Variations in enzyme systems across species can cause disparities in drug metabolism. For instance, humans may metabolize certain drugs faster than rodents, altering therapeutic effects.
Strain differences: Genetic variations within a species can result in differing enzyme activity, impacting drug response and toxicity. For example, some mouse strains may...
Area Computation by the Alternative Coordinate Method
Biological Methods for Microbial Control

