Flexibility–rigidity index for protein–nucleic acid flexibility and fluctuation analysis

Protein–nucleic acid complexes are important for many cellular processes including the most essential functions such as transcription and translation. For many protein–nucleic acid complexes, flexibility of both macromolecules has been shown to be critical for specificity and/or function. The flexibility‐rigidity index (FRI) has been proposed as an accurate and efficient approach for protein flexibility analysis. In this article, we introduce FRI for the flexibility analysis of protein–nucleic acid complexes. We demonstrate that a multiscale strategy, which incorporates multiple kernels to capture various length scales in biomolecular collective motions, is able to significantly improve the state of art in the flexibility analysis of protein–nucleic acid complexes. We take the advantage of the high accuracy and O(N) computational complexity of our multiscale FRI method to investigate the flexibility of ribosomal subunits, which are difficult to analyze by alternative approaches. An anisotropic FRI approach, which involves localized Hessian matrices, is utilized to study the translocation dynamics in an RNA polymerase. © 2016 Wiley Periodicals, Inc.

[1]  Kelin Xia,et al.  Fast and anisotropic flexibility-rigidity index for protein flexibility and fluctuation analysis. , 2014, The Journal of chemical physics.

[2]  Lee-Wei Yang,et al.  Coarse-Grained Models Reveal Functional Dynamics - I. Elastic Network Models – Theories, Comparisons and Perspectives , 2008, Bioinformatics and biology insights.

[3]  Shao-Wei Huang,et al.  Deriving protein dynamical properties from weighted protein contact number , 2008, Proteins.

[4]  E. Fischer Einfluss der Configuration auf die Wirkung der Enzyme , 1894 .

[5]  B. Halle,et al.  Flexibility and packing in proteins , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[6]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[7]  Sunita Yadav,et al.  Thiamine Pyrophosphate Riboswitch in Some Representative Plant Species: A Bioinformatics Study , 2015, J. Comput. Biol..

[8]  Mark Gerstein,et al.  Hinge Atlas: relating protein sequence to sites of structural flexibility , 2007, BMC Bioinformatics.

[9]  Guo-Wei Wei Wavelets generated by using discrete singular convolution kernels , 2000 .

[10]  Konrad Hinsen,et al.  Structural flexibility in proteins: impact of the crystal environment , 2008, Bioinform..

[11]  S. Ozkan,et al.  A flexible docking scheme to explore the binding selectivity of PDZ domains , 2010, Protein science : a publication of the Protein Society.

[12]  Kelin Xia,et al.  Persistent topology for cryo‐EM data analysis , 2014, International journal for numerical methods in biomedical engineering.

[13]  Dror Tobi,et al.  Allosteric changes in protein structure computed by a simple mechanical model: hemoglobin T<-->R2 transition. , 2003, Journal of molecular biology.

[14]  Zhijun Wu,et al.  Coarse Grained Normal Mode Analysis vs. Refined Gaussian Network Model for Protein Residue-Level Structural Fluctuations , 2013, Bulletin of mathematical biology.

[15]  K. Hinsen Analysis of domain motions by approximate normal mode calculations , 1998, Proteins.

[16]  E. Koonin,et al.  Evolutionary connection between the catalytic subunits of DNA-dependent RNA polymerases and eukaryotic RNA-dependent RNA polymerases and the origin of RNA polymerases , 2003, BMC Structural Biology.

[17]  Robert L Jernigan,et al.  vGNM: a better model for understanding the dynamics of proteins in crystals. , 2007, Journal of molecular biology.

[18]  I. Bahar,et al.  Normal mode analysis : theory and applications to biological and chemical systems , 2005 .

[19]  J. Frank,et al.  Dynamic reorganization of the functionally active ribosome explored by normal mode analysis and cryo-electron microscopy , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[20]  Kelin Xia,et al.  Multiscale multiphysics and multidomain models--flexibility and rigidity. , 2013, The Journal of chemical physics.

[21]  G. Phillips,et al.  Dynamics of proteins in crystals: comparison of experiment with simple models. , 2002, Biophysical journal.

[22]  Mark Gerstein,et al.  FlexOracle: predicting flexible hinges by identification of stable domains , 2007, BMC Bioinformatics.

[23]  Michael Feig,et al.  RNA polymerase II with open and closed trigger loops: active site dynamics and nucleic acid translocation. , 2010, Biophysical journal.

[24]  C. Brooks,et al.  Diversity and identity of mechanical properties of icosahedral viral capsids studied with elastic network normal mode analysis. , 2005, Journal of molecular biology.

[25]  J. Mccammon,et al.  Situs: A package for docking crystal structures into low-resolution maps from electron microscopy. , 1999, Journal of structural biology.

[26]  C. Brooks Computer simulation of liquids , 1989 .

[27]  Craig D. Kaplan,et al.  Structural Basis of Transcription: Role of the Trigger Loop in Substrate Specificity and Catalysis , 2006, Cell.

[28]  Guo-Wei Wei,et al.  Multiresolution Topological Simplification , 2015, J. Comput. Biol..

[29]  Guo-Wei Wei,et al.  Molecular nonlinear dynamics and protein thermal uncertainty quantification. , 2014, Chaos.

[30]  Jianpeng Ma,et al.  Usefulness and limitations of normal mode analysis in modeling dynamics of biomolecular complexes. , 2005, Structure.

[31]  Kelin Xia,et al.  Communication: Capturing protein multiscale thermal fluctuations. , 2015, The Journal of chemical physics.

[32]  Gerhard Hummer,et al.  Intrinsic rates and activation free energies from single-molecule pulling experiments. , 2006, Physical review letters.

[33]  R. Jernigan,et al.  Global ribosome motions revealed with elastic network model. , 2004, Journal of structural biology.

[34]  Ivet Bahar,et al.  Maturation dynamics of bacteriophage HK97 capsid. , 2005, Structure.

[35]  Adam W Van Wynsberghe,et al.  Normal-mode analysis suggests protein flexibility modulation throughout RNA polymerase's functional cycle. , 2004, Biochemistry.

[36]  Rafael Brüschweiler,et al.  All-atom contact model for understanding protein dynamics from crystallographic B-factors. , 2009, Biophysical journal.

[37]  Yiying Tong,et al.  Persistent homology for the quantitative prediction of fullerene stability , 2014, J. Comput. Chem..

[38]  A. Atilgan,et al.  Vibrational Dynamics of Folded Proteins: Significance of Slow and Fast Motions in Relation to Function and Stability , 1998 .

[39]  P. Wolynes,et al.  The energy landscapes and motions of proteins. , 1991, Science.

[40]  Leslie A Kuhn,et al.  StoneHinge: Hinge prediction by network analysis of individual protein structures , 2009, Protein science : a publication of the Protein Society.

[41]  A. Atilgan,et al.  Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential. , 1997, Folding & design.

[42]  Hassan A. Karimi,et al.  oGNM: online computation of structural dynamics using the Gaussian Network Model , 2006, Nucleic Acids Res..

[43]  Shao-Wei Huang,et al.  Prediction of NMR order parameters in proteins using weighted protein contact-number model , 2008 .

[44]  C. Anfinsen Principles that govern the folding of protein chains. , 1973, Science.

[45]  Z. Burton The Old and New Testaments of gene regulation , 2014, Transcription.

[46]  Jianpeng Ma,et al.  A normal mode analysis of structural plasticity in the biomolecular motor F(1)-ATPase. , 2004, Journal of molecular biology.

[47]  R. Jernigan,et al.  Anisotropy of fluctuation dynamics of proteins with an elastic network model. , 2001, Biophysical journal.

[48]  M Tasumi,et al.  Normal vibrations of proteins: glucagon. , 1982, Biopolymers.

[49]  Y. Sanejouand,et al.  Conformational change of proteins arising from normal mode calculations. , 2001, Protein engineering.

[50]  Sebastian Doniach,et al.  A comparative study of motor-protein motions by using a simple elastic-network model , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[51]  P. Flory,et al.  Statistical thermodynamics of random networks , 1976, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[52]  Guohui Li,et al.  A coarse-grained normal mode approach for macromolecules: an efficient implementation and application to Ca(2+)-ATPase. , 2002, Biophysical journal.

[53]  D. Thirumalai,et al.  Allosteric transitions in the chaperonin GroEL are captured by a dominant normal mode that is most robust to sequence variations. , 2007, Biophysical journal.

[54]  Julie C. Mitchell,et al.  Density‐cluster NMA: A new protein decomposition technique for coarse‐grained normal mode analysis , 2012, Proteins.

[55]  Ruth Nussinov,et al.  FlexProt: Alignment of Flexible Protein Structures Without a Predefinition of Hinge Regions , 2004, J. Comput. Biol..

[56]  Eric Rivals,et al.  Detecting microsatellites within genomes: significant variation among algorithms , 2007, BMC Bioinformatics.

[57]  Rafael Brüschweiler,et al.  Contact model for the prediction of NMR N-H order parameters in globular proteins. , 2002, Journal of the American Chemical Society.

[58]  R L Jernigan,et al.  Molecular mechanisms of chaperonin GroEL-GroES function. , 2002, Biochemistry.

[59]  N. Go,et al.  Dynamics of a small globular protein in terms of low-frequency vibrational modes. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[60]  Rafael Brüschweiler,et al.  Contact model for the prediction of NMR N-H order parameters in globular proteins. , 2002, Journal of the American Chemical Society.

[61]  M. Levitt,et al.  Protein normal-mode dynamics: trypsin inhibitor, crambin, ribonuclease and lysozyme. , 1985, Journal of molecular biology.

[62]  D. Jacobs,et al.  Protein flexibility predictions using graph theory , 2001, Proteins.

[63]  Y. Sanejouand,et al.  Building‐block approach for determining low‐frequency normal modes of macromolecules , 2000, Proteins.

[64]  Adam W Van Wynsberghe,et al.  Protein structural variation in computational models and crystallographic data. , 2006, Structure.

[65]  G. G. Wood,et al.  A flexible approach for understanding protein stability , 2004, FEBS letters.

[66]  Klaus Schulten,et al.  Fast Visualization of Gaussian Density Surfaces for Molecular Dynamics and Particle System Trajectories , 2012, EuroVis.

[67]  Tirion,et al.  Large Amplitude Elastic Motions in Proteins from a Single-Parameter, Atomic Analysis. , 1996, Physical review letters.

[68]  Michael Feig,et al.  RNA polymerase II flexibility during translocation from normal mode analysis , 2010, Proteins.

[69]  Ben M. Webb,et al.  Protein structure fitting and refinement guided by cryo-EM density. , 2008, Structure.

[70]  Claus-Wilhelm von der Lieth,et al.  A Bond Flexibility Index Derived from the Constitution of Molecules , 1996, J. Chem. Inf. Comput. Sci..

[71]  Ruth Nussinov,et al.  HingeProt: Automated prediction of hinges in protein structures , 2008, Proteins.

[72]  Lars Skjærven,et al.  Normal mode analysis for proteins , 2009 .

[73]  Guo-Wei Wei,et al.  Stochastic model for protein flexibility analysis. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[74]  M. Karplus,et al.  Dynamics of folded proteins , 1977, Nature.

[75]  M. Karplus,et al.  CHARMM: A program for macromolecular energy, minimization, and dynamics calculations , 1983 .