Training

Research training in biomedicine is absolutely necessary to cultivate the next generation of scientists and healthcare professionals who are capable of tackling difficult problems in the fields of biology and medicine. In addition to providing core information in fields such as molecular biology, biochemistry, pharmacology, genomics, proteomics, and bioinformatics, this program also helps participants hone their practical abilities in laboratory procedures, data analysis, and critical thinking. Biomedical research training equips individuals to contribute meaningfully to scientific discovery by transforming basic research into clinical applications that enhance patient outcomes and promote human health. The training aims to foster innovation, interdisciplinary collaboration, and research practices.

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ABSCCR Publication-Based Summer Training 2025

The Advanced Bioscience Center for Collaborative Research (ABSCCR) is now offering publication-based research training programs in the following areas:

Basic Bioinformatics (Research Paper)
Anticancer Drug Design (Research Paper)

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Bioinformatics approaches for protein structure-function relationships and functional annotation determination

The correlation between the structure and function of proteins is a fundamental concept in the fields of molecular biology and biochemistry. It elucidates how the distinct three-dimensional configurations of proteins dictate their precise functions in biological processes. Proteins, composed of chains of amino acids, fold into intricate shapes to interact with other molecules, facilitate biochemical events, and maintain cell integrity. Gaining a comprehensive understanding of the link between form and function is essential for obtaining valuable insights into disease processes, advancing medication research, and fostering advances in biotechnology. Through the examination of how alterations in protein structure impact functionality, researchers are able to develop precise treatments and enhance our understanding of the molecular mechanisms of life.

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Computational drug design and discovery

Computational drug design and discovery is an emerging discipline that uses computer-based techniques to find, create, and enhance new medicinal molecules. Researchers can expedite the drug development process and cut expenses by employing methods like molecular modeling, virtual screening, and machine learning to forecast the interactions between small compounds and particular biological targets, as opposed to relying only on traditional experimental methods. This methodology facilitates a more focused strategy in drug development, which enables the discovery of potential medication candidates with more specificity, effectiveness, and safety characteristics. With the ongoing advancement of computational tools, there is a significant opportunity for them to completely transform our understanding, design, and development of novel therapies for many diseases.

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Publication-Based Basic Bioinformatics Training Program

The publication-based basic bioinformatics training program aims to provide researchers and students with fundamental bioinformatics abilities through practical, publication-focused education. This curriculum emphasizes the pragmatic application of bioinformatics tools and techniques, utilizing actual data from published research to instruct pupils on how to examine and comprehend intricate biological data. Learners acquire practical skills in data mining, sequence analysis, genome annotation, and other fundamental bioinformatics techniques by directly engaging with datasets from current scientific papers. The course places a strong emphasis on developing critical thinking skills and making decisions based on facts. This prepares participants to make valuable contributions to advanced research in genomics, proteomics, and systems biology.

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