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R I Dima

Showing results (1-10 of 9) with videos related to

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Biophysical Journal|August 31, 2002
Exploring the propensities of helices in PrP(C) to form beta sheet using NMR structures and sequence alignmentsR I Dima, D Thirumalai
Protein Science : a Publication of the Protein Society|April 23, 2002
Exploring protein aggregation and self-propagation using lattice models: phase diagram and kineticsR I Dima, D Thirumalai
Biophysical Journal|September 23, 2010
Order statistics theory of unfolding of multimeric proteinsA Zhmurov, R I Dima, V Barsegov
Protein Science : a Publication of the Protein Society|May 4, 2000
Scoring functions in protein folding and designR I Dima, J R Banavar, A Maritan
Current Opinion in Structural Biology|May 3, 2003
Emerging ideas on the molecular basis of protein and peptide aggregationD Thirumalai, D K Klimov, R I Dima
Proteins|August 18, 2010
Sop-GPU: accelerating biomolecular simulations in the centisecond timescale using graphics processorsA Zhmurov, R I Dima, Y Kholodov, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 29, 1999
Statistical mechanics of protein-like heteropolymersR I Dima, J R Banavar, M Cieplak, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 22, 2001
Protein threading by learningI Chang, M Cieplak, R I Dima, et al.
The Analyst|March 17, 2026
Micro-SORS and machine learning for the non-invasive reference-free study of subsurface pigment degradationA Lux, J Schlanz, A Botteon, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Biophysical Journal|August 31, 2002
Exploring the propensities of helices in PrP(C) to form beta sheet using NMR structures and sequence alignmentsR I Dima, D Thirumalai
Protein Science : a Publication of the Protein Society|April 23, 2002
Exploring protein aggregation and self-propagation using lattice models: phase diagram and kineticsR I Dima, D Thirumalai
Biophysical Journal|September 23, 2010
Order statistics theory of unfolding of multimeric proteinsA Zhmurov, R I Dima, V Barsegov
Protein Science : a Publication of the Protein Society|May 4, 2000
Scoring functions in protein folding and designR I Dima, J R Banavar, A Maritan
Current Opinion in Structural Biology|May 3, 2003
Emerging ideas on the molecular basis of protein and peptide aggregationD Thirumalai, D K Klimov, R I Dima
Proteins|August 18, 2010
Sop-GPU: accelerating biomolecular simulations in the centisecond timescale using graphics processorsA Zhmurov, R I Dima, Y Kholodov, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 29, 1999
Statistical mechanics of protein-like heteropolymersR I Dima, J R Banavar, M Cieplak, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 22, 2001
Protein threading by learningI Chang, M Cieplak, R I Dima, et al.
The Analyst|March 17, 2026
Micro-SORS and machine learning for the non-invasive reference-free study of subsurface pigment degradationA Lux, J Schlanz, A Botteon, et al.
Pageof 1