方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 冷冻电镜重构× | HMMER谱搜索× | 分子对接× | |
|---|---|---|---|
| 领域 | 生物信息学 | 生物信息学 | 生物信息学 |
| 方法族 | Process / pipeline | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1975 | 1994 | 1982 |
| 提出者≠ | Joachim Frank | Sean Eddy | Irwin Kuntz |
| 类型≠ | Image reconstruction pipeline | Probabilistic sequence search pipeline | Binding prediction pipeline |
| 开创性文献≠ | Frank, J. (2002). Single-particle imaging of macromolecules by cryo-electron microscopy. Annual Review of Biophysics and Biomolecular Structure, 31, 303-319. DOI ↗ | Krogh, A., Brown, M., Mian, I. S., Sjölander, K., & Haussler, D. (1994). Hidden Markov models in computational biology: applications to protein modeling. Journal of Molecular Biology, 235(5), 1501-1531. DOI ↗ | Kuntz, I. D., Blaney, J. M., Oatley, S. J., Langridge, R., & Ferrin, T. E. (1982). A geometric approach to macromolecule-ligand interactions. Journal of Molecular Biology, 161(2), 269-288. DOI ↗ |
| 别名≠ | cryo-electron microscopy, cryo-EM, single-particle cryo-EM | profile-hidden Markov model, HMM profile search, HMMER | protein-ligand docking, binding prediction |
| 相关≠ | 3 | 3 | 4 |
| 摘要≠ | Cryo-electron microscopy (cryo-EM) determines three-dimensional macromolecular structures at atomic or near-atomic resolution by imaging proteins frozen in vitreous ice. Pioneered by Frank, Henderson, and others, this technique has revolutionized structural biology by enabling visualization of large, non-crystallizable complexes and capturing functional conformational states. | HMMER profile search identifies distant protein sequence homologs using probabilistic models of protein families, known as profile Hidden Markov Models (HMMs). Developed by Eddy and colleagues, this method captures sequence variation patterns within protein families and detects homologs with far greater sensitivity than position-weight matrices or pairwise alignment. | Molecular docking predicts the preferred binding orientation and affinity of a ligand (small molecule) within a protein binding pocket. Pioneered by Kuntz and colleagues in 1982, this computational method searches conformational space to find energetically favorable ligand-protein complexes, enabling rapid screening of chemical libraries for drug discovery. |
| ScholarGate数据集 ↗ |
|
|
|