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Princeton_<scp>TIGRESS</scp> 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the <scp>CASP</scp>11 experiment
Research article (Proteins Structure Function and Bioinformatics, 2017) · cited 14× · AI/ML
Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the CASP11 experiment
Summary
Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the CASP11 experiment is a scholarly article[1].
Key Facts
Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the CASP11 experiment's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Princeton_<scp>TIGRESS</scp> 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the <scp>CASP</scp>11 experiment. Retrieved May 24, 2026, from https://4ort.xyz/entity/princeton-scp-tigress-scp-2-0-high-refinement-consistency-and-net-gains-through-support-vector-machines-and-molecular-dy
MLA“Princeton_<scp>TIGRESS</scp> 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the <scp>CASP</scp>11 experiment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/princeton-scp-tigress-scp-2-0-high-refinement-consistency-and-net-gains-through-support-vector-machines-and-molecular-dy.
BibTeX@misc{4ortxyz_princeton-scp-tigress-scp-2-0-high-refinement-consistency-and-net-gains-through-support-vector-machines-and-molecular-dy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Princeton_<scp>TIGRESS</scp> 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the <scp>CASP</scp>11 experiment}}, year = {2026}, url = {https://4ort.xyz/entity/princeton-scp-tigress-scp-2-0-high-refinement-consistency-and-net-gains-through-support-vector-machines-and-molecular-dy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Princeton_<scp>TIGRESS</scp> 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the <scp>CASP</scp>11 experiment — https://4ort.xyz/entity/princeton-scp-tigress-scp-2-0-high-refinement-consistency-and-net-gains-through-support-vector-machines-and-molecular-dy (retrieved 2026-05-24)
