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dc.contributor.authorZhang, Yang
dc.date.accessioned2017-06-08T20:30:30Z
dc.date.available2017-06-08T20:30:30Z
dc.date.issued2009-04
dc.identifier.citationZhang, Y. (2009). Protein Structure Prediction: Is It Useful? Current Opinion in Structural Biology, 19(2), 145–155. http://doi.org/10.1016/j.sbi.2009.02.005en_US
dc.identifier.urihttp://hdl.handle.net/1808/24448
dc.description.abstractComputationally predicted three-dimensional structure of protein molecules has demonstrated the usefulness in many areas of biomedicine, ranging from approximate family assignments to precise drug screening. For nearly 40 years, however, the accuracy of the predicted models has been dictated by the availability of close structural templates. Progress has recently been achieved in refining low-resolution models closer to the native ones; this has been made possible by combining knowledge-based information from multiple sources of structural templates as well as by improving the energy funnel of physics-based force fields. Unfortunately, there has been no essential progress in the development of techniques for detecting remotely homologous templates and for predicting novel protein structures.en_US
dc.publisherElsevieren_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License 4.0 (CC BY-NC-ND 4.0), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleProtein Structure Prediction: Is It Useful?en_US
dc.typeArticleen_US
kusw.kuauthorZhang, Yang
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.1016/j.sbi.2009.02.005en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC2673339en_US
dc.rights.accessrightsopenAccess


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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License 4.0 (CC BY-NC-ND 4.0), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Except where otherwise noted, this item's license is described as: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License 4.0 (CC BY-NC-ND 4.0), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.