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MM-PBSA: Challenges and opportunities

  • Joao Pedro Do Vale Hipolito Cavalheiro
  • , Nuno Miguel Matos Pires
  • , Tao Dong
  • Chongqing Technology and Business University
  • Norwegian University of Life Sciences
  • University of South-Eastern Norway

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) is arguably the most popular method for free binding energy prediction since it is considerably more accurate than docking or scoring methods, but considerably less demanding than Free Energy Perturbation (FEP). In this review, the most important challenges and opportunities associated to this method were addressed and evaluated. The following conclusions were obtained: Accuracy of MM-PBSA calculations still strongly depends on the settings used for the prediction, the conditions in which Molecular Dynamics simulations (MD) are made, the conditions from which the experimental data are obtained, it depends on the presence of the complex structure and this method has also shown to be unable to provide accurate results for charged molecules. On the other hand, it presents many opportunities since many improvements were based on MM-PBSA calculations such as Single Amino Acid Mutation based change in Binding free Energy (SAAMBE), bootstrap, dampened Molecular Mechanics Poisson-Boltzmann Surface Area (dMM-PBSA), a high throughput method called g-mmpbsa, a method based on both MM-PBSA calculations and a scoring function, force fields for inhomogeneous protein specific environments and many other new ways of improving the accuracy of this promising method. This study intends to clarify what are the major trends in this field and thus contribute to increase MM-PBSA's applicability and efficiency.

源语言英语
主期刊名Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
编辑Qingli Li, Lipo Wang, Mei Zhou, Li Sun, Song Qiu, Hongying Liu
出版商Institute of Electrical and Electronics Engineers Inc.
1-6
页数6
ISBN(电子版)9781538619377
DOI
出版状态已出版 - 2 7月 2017
已对外发布
活动10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 - Shanghai, 中国
期限: 14 10月 201716 10月 2017

丛书

姓名Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
2018-January

会议

会议10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
国家/地区中国
Shanghai
时期14/10/1716/10/17

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