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| Content Provider | Springer Nature Link |
|---|---|
| Author | Gallicchio, Emilio Chen, Haoyuan Chen, He Fitzgerald, Michael Gao, Yang He, Peng Kalyanikar, Malathi Kao, Chuan Lu, Beidi Niu, Yijie Pethe, Manasi Zhu, Jie Levy, Ronald M. |
| Copyright Year | 2015 |
| Abstract | The binding energy distribution analysis method (BEDAM) protocol has been employed as part of the SAMPL4 blind challenge to predict the binding free energies of a set of octa-acid host–guest complexes. The resulting predictions were consistently judged as some of the most accurate predictions in this category of the SAMPL4 challenge in terms of quantitative accuracy and statistical correlation relative to the experimental values, which were not known at the time the predictions were made. The work has been conducted as part of a hands-on graduate class laboratory session. Collectively the students, aided by automated setup and analysis tools, performed the bulk of the calculations and the numerical and structural analysis. The success of the experiment confirms the reliability of the BEDAM methodology and it shows that physics-based atomistic binding free energy estimation models, when properly streamlined and automated, can be successfully employed by non-specialists. |
| Starting Page | 315 |
| Ending Page | 325 |
| Page Count | 11 |
| File Format | |
| ISSN | 0920654X |
| Journal | Journal of Computer-Aided Molecular Design |
| Volume Number | 29 |
| Issue Number | 4 |
| e-ISSN | 15734951 |
| Language | English |
| Publisher | Springer International Publishing |
| Publisher Date | 2015-03-01 |
| Publisher Place | Cham |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Binding energy distribution analysis method Implicit solvation Analytic generalized Born plus non-polar model Blind prediction Physical Chemistry Computer Applications in Chemistry Animal Anatomy / Morphology / Histology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Drug Discovery Physical and Theoretical Chemistry Computer Science Applications |
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