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Silvia Crivelli - Publications

Affiliations: 
1997-2001 Bioengineering University of California, Berkeley, Berkeley, CA, United States 
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17 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Fajardo JE, Shrestha R, Gil N, Belsom A, Crivelli SN, Czaplewski C, Fidelis K, Grudinin S, Karasikov M, Karczyńska AS, Kryshtafovych A, Leitner A, Liwo A, Lubecka EA, Monastyrskyy B, et al. Assessment of chemical-crosslink-assisted protein structure modeling in CASP13. Proteins. 88: 540. PMID 31977133 DOI: 10.1002/Prot.25867  0.381
2020 Vazquez E, Thomas R, Zamora-Resendiz R, Tang Y, Watanabe M, Crivelli S. Determination of Protein Coarse-Grained Potentials by Machine Learning Approaches Biophysical Journal. 118. DOI: 10.1016/J.Bpj.2019.11.1100  0.355
2019 Lensink MF, Brysbaert G, Nadzirin N, Velankar S, Chaleil RAG, Gerguri T, Bates PA, Laine E, Carbone A, Grudinin S, Kong R, Liu RR, Xu XM, Shi H, Chang S, ... ... Crivelli S, et al. Blind prediction of homo- and hetero- protein complexes: The CASP13-CAPRI experiment. Proteins. PMID 31612567 DOI: 10.1002/Prot.25838  0.327
2019 Fajardo JE, Shrestha R, Gil N, Belsom A, Crivelli SN, Czaplewski C, Fidelis K, Grudinin S, Karasikov M, Karczyńska AS, Kryshtafovych A, Leitner A, Liwo A, Lubecka EA, Monastyrskyy B, et al. Assessment of chemical-crosslink-assisted protein structure modeling in CASP13. Proteins. PMID 31569265 DOI: 10.1002/Prot.25816  0.479
2019 Lubecka EA, Karczyńska AS, Lipska AG, Sieradzan AK, Ziȩba K, Sikorska C, Uciechowska U, Samsonov SA, Krupa P, Mozolewska MA, Golon Ł, Giełdoń A, Czaplewski C, Ślusarz R, Ślusarz M, ... Crivelli SN, et al. Evaluation of the scale-consistent UNRES force field in template-free prediction of protein structures in the CASP13 experiment. Journal of Molecular Graphics & Modelling. 92: 154-166. PMID 31376733 DOI: 10.1016/j.jmgm.2019.07.013  0.356
2018 Keasar C, McGuffin LJ, Wallner B, Chopra G, Adhikari B, Bhattacharya D, Blake L, Bortot LO, Cao R, Dhanasekaran BK, Dimas I, Faccioli RA, Faraggi E, Ganzynkowicz R, Ghosh S, ... ... Crivelli SN, et al. An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12. Scientific Reports. 8: 9939. PMID 29967418 DOI: 10.1038/s41598-018-26812-8  0.356
2016 Mirzaei S, Sidi T, Keasar C, Crivelli S. Purely Structural Protein Scoring Functions Using Support Vector Machine and Ensemble Learning. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 28113636 DOI: 10.1109/Tcbb.2016.2602269  0.496
2014 Khoury GA, Liwo A, Khatib F, Zhou H, Chopra G, Bacardit J, Bortot LO, Faccioli RA, Deng X, He Y, Krupa P, Li J, Mozolewska MA, Sieradzan AK, Smadbeck J, ... ... Crivelli SN, et al. WeFold: a coopetition for protein structure prediction. Proteins. 82: 1850-68. PMID 24677212 DOI: 10.1002/Prot.24538  0.537
2013 Crivelli S, Max N. Creating supersecondary structures with BuildBeta. Methods in Molecular Biology (Clifton, N.J.). 932: 115-40. PMID 22987350 DOI: 10.1007/978-1-62703-065-6_8  0.468
2010 Max N, Hu C, Kreylos O, Crivelli S. BuildBeta--a system for automatically constructing beta sheets. Proteins. 78: 559-74. PMID 19768785 DOI: 10.1002/Prot.22578  0.305
2005 Ding J, Eskow E, Max N, Crivelli S. Protein structure prediction using physical-based global optimization and knowledge-guided fragment packing 2005 Ieee Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 211-212. DOI: 10.1109/CSBW.2005.115  0.541
2004 Crivelli S, Kreylos O, Hamann B, Max N, Bethel W. ProteinShop: a tool for interactive protein manipulation and steering. Journal of Computer-Aided Molecular Design. 18: 271-85. PMID 15562991 DOI: 10.1023/B:Jcam.0000046822.54719.4F  0.5
2004 Crivelli S, Head-Gordon T. A new load-balancing strategy for the solution of dynamical large-tree-search problems using a hierarchical approach Ibm Journal of Research and Development. 48: 153-160. DOI: 10.1147/Rd.482.0153  0.472
2004 Eskow E, Bader B, Byrd R, Crivelli S, Head-Gordon T, Lamberti V, Schnabel R. An optimization approach to the problem of protein structure prediction Mathematical Programming. 101: 497-514. DOI: 10.1007/S10107-003-0493-4  0.626
2002 Crivelli S, Eskow E, Bader B, Lamberti V, Byrd R, Schnabel R, Head-Gordon T. A physical approach to protein structure prediction Biophysical Journal. 82: 36-49. PMID 11751294 DOI: 10.1016/S0006-3495(02)75372-1  0.616
2000 Crivelli S, Byrd R, Eskow E, Schnabe R, Yu R, Philip TM, Head-Gordon T. A global optimization strategy for predicting α-helical protein tertiary structure Computers and Chemistry. 24: 489-497. PMID 10816018 DOI: 10.1016/S0097-8485(99)00087-X  0.606
1999 Crivelli S, Head-Gordon T, Byrd R, Eskow E, Schnabel R. A hierarchical approach for parallelization of a global optimization method for protein structure prediction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1685: 578-585.  0.629
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