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Students at the Rochester Institute of Technology and Dowling College used bioinformatics software, which they had helped develop, to predict the function of protein structures whose functions had not been assigned or confirmed. Over the course of time, they incorporated other bioinformatics tools and moved the project to the wet lab, where they sought to confirm their in silico predictions with in vitro assays. In this process, we saw so much personal and professional growth among our students that we chose to implement their approach in an undergraduate biochemistry teaching lab, which we call BASIL, for Biochemistry Authentic Scientific Inquiry Lab. This curriculum has now been implemented by thirteen faculty members on eight campuses, and we look forward to a long-range exploration of BASIL’s impact on the students who enroll in courses that use the BASIL curriculum.
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This content will become publicly available on January 31, 2026
Expanding the BASIL CURE
In the Biochemistry Authentic Scientific Inquiry Lab (BASIL) course-based undergraduate research experience, students use a series of computational (sequence and structure comparison, docking) and wet lab (protein expression, purification, and concentration; sodium dodecyl sulfate-polyacrylamide gel electrophoresis [SDS-PAGE]; enzyme activity and kinetics) modules to predict and test the function of protein structures of unknown function found in the Protein Data Bank and UniProt. BASIL was established in 2015 with a core of 10 faculty members on six campuses, with the support of an educational researcher and doctoral student on a seventh campus. Since that time, the number of participating faculty members and campuses has grown, and we have adapted our curriculum to improve access for all who are interested. We have also expanded our curriculum to include new developments that are appearing in computational approaches to life science research. In this article, we provide a history of BASIL, explain our current approach, describe how we have addressed challenges that have appeared, and describe our curriculum development pipeline and our plans for moving forward in a sustainable and equitable fashion.
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- PAR ID:
- 10579430
- Publisher / Repository:
- The Biophysical Society
- Date Published:
- Journal Name:
- The Biophysicist
- Volume:
- 6
- Issue:
- 1
- ISSN:
- 2578-6970
- Subject(s) / Keyword(s):
- bioinformatics computational methods wet lab protein function prediction
- Format(s):
- Medium: X Size: 537 kb Other: pdf
- Size(s):
- 537 kb
- Sponsoring Org:
- National Science Foundation
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Students at the Rochester Institute of Technology and Dowling College used bioinformatics software, which they had helped develop, to predict the function of protein structures whose functions had not been assigned or confirmed. Over the course of time, they incorporated other bioinformatics tools and moved the project to the wet lab, where they sought to confirm their in silico predictions with in vitro assays. In this process, we saw so much personal and professional growth among our students that we chose to implement their approach in an undergraduate biochemistry teaching lab, which we call BASIL, for Biochemistry Authentic Scientific Inquiry Lab. This curriculum has now been implemented by thirteen faculty members on eight campuses, and we look forward to a long-range exploration of BASIL’s impact on the students who enroll in courses that use the BASIL curriculum.more » « less
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