Faculty II-Mathematics and Natural Sciences, Technische Universität Berlin, Sekr. PC 14, Strasse des 17. Juni 135, D-10623, Berlin, Germany.
Appl Biochem Biotechnol. 2021 Oct;193(10):3418-3424. doi: 10.1007/s12010-021-03601-0. Epub 2021 Jun 8.
With the ongoing laboratory restrictions, it is often challenging for bioscience students to make satisfactory progress in their projects. A long-standing practice in multi-disciplinary research is to use computational and theoretical method to corroborate with experiment findings. In line with the lack of opportunity to access laboratory instruments, the pandemic situation is a win-win scenario for scholars to focus on computational methods. This communication outline some of the standalone tools and webservers that bioscience students can successfully learn and adopt to obtain in-depth insights into biochemistry, biophysics, biotechnology, and bioengineering research work.
由于实验室的持续限制，生物科学专业的学生在项目中取得满意的进展往往具有挑战性。多学科研究中的一个长期做法是使用计算和理论方法来印证实验结果。由于缺乏获取实验室仪器的机会，疫情情况为学者专注于计算方法提供了双赢的局面。本通讯概述了一些独立的工具和网络服务器，生物科学专业的学生可以成功学习和采用这些工具和服务器，以深入了解生物化学、生物物理学、生物技术和生物工程研究工作。
