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Related Experiment Videos

Computational Resources for Bioscience Education.

Rajiv K Kar1

  • 1Faculty II-Mathematics and Natural Sciences, Technische Universität Berlin, Sekr. PC 14, Strasse des 17. Juni 135, D-10623, Berlin, Germany. rajiv.kar@mail.huji.ac.il.

Applied Biochemistry and Biotechnology
|June 8, 2021
PubMed
Summary
This summary is machine-generated.

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Biochemistry·2024

Bioscience students can overcome laboratory restrictions by using computational tools. These methods offer in-depth insights into biochemistry, biophysics, biotechnology, and bioengineering research, complementing experimental work.

Area of Science:

  • Biochemistry
  • Biophysics
  • Biotechnology
  • Bioengineering

Background:

  • Laboratory restrictions pose challenges for bioscience students' project progress.
  • Computational and theoretical methods are established practices in multidisciplinary research.
  • The pandemic necessitates a shift towards computational approaches in bioscience education.

Purpose of the Study:

  • To identify standalone computational tools and web servers for bioscience students.
  • To enable students to gain in-depth research insights despite lab limitations.
  • To support learning and adoption of computational methods in various bioscience fields.

Main Methods:

  • Review and compilation of accessible standalone computational tools.
Keywords:
BioscienceClassical simulationsQuantum mechanicsStructural modelingVisualizers

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  • Identification of web servers relevant to biochemistry, biophysics, biotechnology, and bioengineering.
  • Focus on tools suitable for student learning and project application.

    • Main Results:

    • A curated list of computational tools and web servers is presented.
    • These resources allow for in-depth analysis in core bioscience disciplines.
    • Students can effectively utilize these tools to supplement experimental work.

    Conclusions:

    • Computational methods provide a viable alternative and complement to laboratory work for bioscience students.
    • Adoption of these tools enhances research capabilities and project outcomes.
    • This approach is crucial for maintaining academic progress during periods of restricted lab access.