Found: 28
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Assessment of CASP11 contact-assisted predictions.
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- Proteins, 2016, v. 84, p. 164, doi. 10.1002/prot.25020
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CASP 11 target classification.
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- Proteins, 2016, v. 84, p. 20, doi. 10.1002/prot.24982
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Evaluation of free modeling targets in CASP11 and ROLL.
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- Proteins, 2016, v. 84, p. 51, doi. 10.1002/prot.24973
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New encouraging developments in contact prediction: Assessment of the CASP11 results.
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- Proteins, 2016, v. 84, p. 131, doi. 10.1002/prot.24943
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Methods of model accuracy estimation can help selecting the best models from decoy sets: Assessment of model accuracy estimations in CASP11.
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- Proteins, 2016, v. 84, p. 349, doi. 10.1002/prot.24919
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- Article
Assessment of protein disorder region predictions in CASP10.
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- Proteins, 2014, v. 82, p. 127, doi. 10.1002/prot.24391
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Evaluation of residue-residue contact prediction in CASP10.
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- Proteins, 2014, v. 82, p. 138, doi. 10.1002/prot.24340
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Assessment of the assessment: Evaluation of the model quality estimates in CASP10.
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- Proteins, 2014, v. 82, p. 112, doi. 10.1002/prot.24347
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- Article
CASP prediction center infrastructure and evaluation measures in CASP10 and CASP ROLL.
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- Proteins, 2014, v. 82, p. 7, doi. 10.1002/prot.24399
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- Article
Evaluation of disorder predictions in CASP9.
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- Proteins, 2011, v. 79, p. 107, doi. 10.1002/prot.23161
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Evaluation of residue-residue contact predictions in CASP9.
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- Proteins, 2011, v. 79, p. 119, doi. 10.1002/prot.23160
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- Article
Fluid penetration effects in porous media contact.
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- Continuum Mechanics & Thermodynamics, 2008, v. 20, n. 5, p. 303, doi. 10.1007/s00161-008-0083-z
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Assessment of chemical‐crosslink‐assisted protein structure modeling in CASP13.
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- 2020
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- Correction Notice
Small angle X‐ray scattering‐assisted protein structure prediction in CASP13 and emergence of solution structure differences.
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- Proteins, 2019, v. 87, n. 12, p. 1298, doi. 10.1002/prot.25827
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- Article
Assessing the accuracy of contact predictions in CASP13.
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- Proteins, 2019, v. 87, n. 12, p. 1058, doi. 10.1002/prot.25819
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- Article
Cryo‐electron microscopy targets in CASP13: Overview and evaluation of results.
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- Proteins, 2019, v. 87, n. 12, p. 1128, doi. 10.1002/prot.25817
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- Article
Assessment of chemical‐crosslink‐assisted protein structure modeling in CASP13.
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- Proteins, 2019, v. 87, n. 12, p. 1283, doi. 10.1002/prot.25816
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- Article
Assessment of protein model structure accuracy estimation in CASP13: Challenges in the era of deep learning.
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- Proteins, 2019, v. 87, n. 12, p. 1351, doi. 10.1002/prot.25804
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- Article
Assessment of protein assembly prediction in CASP13.
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- Proteins, 2019, v. 87, n. 12, p. 1190, doi. 10.1002/prot.25795
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- Article
CASP13 target classification into tertiary structure prediction categories.
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- Proteins, 2019, v. 87, n. 12, p. 1021, doi. 10.1002/prot.25775
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- Article
Cover Image, Volume 86, Issue S1.
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- Proteins, 2018, v. 86, n. 1, p. C1, doi. 10.1002/prot.25475
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- Article
Evaluation of the template‐based modeling in CASP12.
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- Proteins, 2018, v. 86, n. 1, p. 321, doi. 10.1002/prot.25425
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- Article
Assessment of hard target modeling in CASP12 reveals an emerging role of alignment‐based contact prediction methods.
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- Proteins, 2018, v. 86, n. 1, p. 97, doi. 10.1002/prot.25423
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- Article
Assessment of protein assembly prediction in CASP12.
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- Proteins, 2018, v. 86, n. 1, p. 247, doi. 10.1002/prot.25408
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Assessment of contact predictions in CASP12: Co‐evolution and deep learning coming of age.
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- Proteins, 2018, v. 86, n. 1, p. 51, doi. 10.1002/prot.25407
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- Article
Definition and classification of evaluation units for tertiary structure prediction in CASP12 facilitated through semi‐automated metrics.
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- Proteins, 2018, v. 86, n. 1, p. 16, doi. 10.1002/prot.25403
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Assessment of model accuracy estimations in CASP12.
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- Proteins, 2018, v. 86, n. 1, p. 345, doi. 10.1002/prot.25371
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Comparative analysis of methods for evaluation of protein models against native structures.
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- Bioinformatics, 2019, v. 35, n. 6, p. 937, doi. 10.1093/bioinformatics/bty760
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- Article