Ranaweera Kamburawala Kankanamge Tharindu Namal, Baik Myunggi
Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Department of Animal Science, Faculty of Animal Science and Export Agriculture, Uva Wellassa University, Badulla 90000, Sri Lanka.
Anim Biosci. 2025 Jan;38(1):1-18. doi: 10.5713/ab.24.0291. Epub 2024 Aug 26.
The increase in methane emissions, a major greenhouse gas, threatens human well-being and global ecosystems due to its contribution to global warming. Livestock, particularly ruminants, have been a major research topic in recent decades due to their methane production. Therefore, the objective of the current review was to comprehensively discuss the in silico techniques used to mitigate methane production from ruminants. The review covers the principles of in silico docking and molecular dynamics, which can be used to develop methanogenesis inhibitors. It also discusses specific methanogen enzymes as potential targets for inhibitor development. Furthermore, in silico-based methanogenesis inhibitor development studies have been reviewed with the authors' opinions. The further use of in silico-based research techniques, including artificial intelligence-based systems, is encouraged to help reduce methane production from livestock more efficiently and costeffectively.
甲烷作为一种主要的温室气体,其排放量的增加对全球变暖产生影响,进而威胁到人类福祉和全球生态系统。近几十年来,家畜尤其是反刍动物因其甲烷排放问题一直是主要的研究对象。因此,本综述的目的是全面探讨用于减少反刍动物甲烷排放的计算机模拟技术。该综述涵盖了可用于开发产甲烷抑制剂的计算机模拟对接和分子动力学原理。它还讨论了特定的产甲烷菌酶作为抑制剂开发的潜在靶点。此外,还对基于计算机模拟的产甲烷抑制剂开发研究进行了综述并阐述了作者的观点。鼓励进一步使用包括基于人工智能的系统在内的基于计算机模拟的研究技术,以更高效、更经济地帮助减少家畜的甲烷排放。