| scholarly article | Q13442814 |
| P2093 | author name string | Amos B Smith | |
| Onur Atasoylu | |||
| Christina Risatti | |||
| George Furst | |||
| P2860 | cites work | Improved spectral resolution in cosy 1H NMR spectra of proteins via double quantum filtering | Q29618846 |
| Janocchio--a Java applet for viewing 3D structures and calculating NMR couplings and NOEs | Q33286052 | ||
| The spongistatins, potently cytotoxic inhibitors of tubulin polymerization, bind in a distinct region of the vinca domain | Q71936206 | ||
| Spongistatin 1, a highly cytotoxic, sponge-derived, marine natural product that inhibits mitosis, microtubule assembly, and the binding of vinblastine to tubulin | Q72584846 | ||
| Altohyrtins B and C and 5-desacetylaltohyrtin A, potent cytotoxic macrolide congeners of altohyrtin A, from the Okinawan marine sponge Hyrtios altum | Q72852099 | ||
| Compensation of refocusing inefficiency with synchronized inversion sweep (CRISIS) in multiplicity-edited HSQC | Q79329448 | ||
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | solution structure | Q99235426 |
| P304 | page(s) | 1788-1791 | |
| P577 | publication date | 2010-04-01 | |
| P1433 | published in | Organic Letters | Q2396276 |
| P1476 | title | The solution structure of (+)-spongistatin 1 in DMSO. | |
| P478 | volume | 12 |
| Q51033732 | Bayesian inference of conformational state populations from computational models and sparse experimental observables. |
| Q35645437 | Conformation-activity relationships of polyketide natural products |
| Q37624604 | Conformational preferences of zampanolide and dactylolide |
| Q34985541 | Improved stereochemical analysis of conformationally flexible diamines by binding to a bisporphyrin molecular clip |
| Q35234700 | In vitro and in vivo anticancer activity of (+)-spongistatin 1. |
| Q38636770 | Macrocycles All Aflutter: Substitution at an Allylic Center Reveals Conformational Dynamics of [13]-Macrodilactones. |
| Q88003407 | Model Selection Using BICePs: A Bayesian Approach for Force Field Validation and Parameterization |
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