Literature DB >> 23180855

The protein-folding problem, 50 years on.

Ken A Dill1, Justin L MacCallum.   

Abstract

The protein-folding problem was first posed about one half-century ago. The term refers to three broad questions: (i) What is the physical code by which an amino acid sequence dictates a protein's native structure? (ii) How can proteins fold so fast? (iii) Can we devise a computer algorithm to predict protein structures from their sequences? We review progress on these problems. In a few cases, computer simulations of the physical forces in chemically detailed models have now achieved the accurate folding of small proteins. We have learned that proteins fold rapidly because random thermal motions cause conformational changes leading energetically downhill toward the native structure, a principle that is captured in funnel-shaped energy landscapes. And thanks in part to the large Protein Data Bank of known structures, predicting protein structures is now far more successful than was thought possible in the early days. What began as three questions of basic science one half-century ago has now grown into the full-fledged research field of protein physical science.

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Year:  2012        PMID: 23180855     DOI: 10.1126/science.1219021

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  320 in total

1.  Intramolecular Interactions Overcome Hydration to Drive the Collapse Transition of Gly15.

Authors:  D Asthagiri; Deepti Karandur; Dheeraj S Tomar; B Montgomery Pettitt
Journal:  J Phys Chem B       Date:  2017-08-21       Impact factor: 2.991

2.  Dimensions, energetics, and denaturant effects of the protein unstructured state.

Authors:  Maodong Li; Zhirong Liu
Journal:  Protein Sci       Date:  2016-01-05       Impact factor: 6.725

3.  Protein-fold recognition using an improved single-source K diverse shortest paths algorithm.

Authors:  John Lhota; Lei Xie
Journal:  Proteins       Date:  2016-02-04

4.  First Passage Times, Lifetimes, and Relaxation Times of Unfolded Proteins.

Authors:  Wei Dai; Anirvan M Sengupta; Ronald M Levy
Journal:  Phys Rev Lett       Date:  2015-07-21       Impact factor: 9.161

5.  Folding of Protein Ions in the Gas Phase after Cation-to-Anion Proton-Transfer Reactions.

Authors:  Kenneth J Laszlo; Eleanor B Munger; Matthew F Bush
Journal:  J Am Chem Soc       Date:  2016-07-21       Impact factor: 15.419

6.  Nanomanufacturing: A Perspective.

Authors:  J Alexander Liddle; Gregg M Gallatin
Journal:  ACS Nano       Date:  2016-02-22       Impact factor: 15.881

7.  Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning.

Authors:  Yasuhiro Matsunaga; Yuji Sugita
Journal:  Elife       Date:  2018-05-03       Impact factor: 8.140

8.  Matriarch: A Python Library for Materials Architecture.

Authors:  Tristan Giesa; Ravi Jagadeesan; David I Spivak; Markus J Buehler
Journal:  ACS Biomater Sci Eng       Date:  2015-08-11

9.  Toward polarizable AMOEBA thermodynamics at fixed charge efficiency using a dual force field approach: application to organic crystals.

Authors:  Ian J Nessler; Jacob M Litman; Michael J Schnieders
Journal:  Phys Chem Chem Phys       Date:  2016-11-09       Impact factor: 3.676

Review 10.  How computational models contribute to our understanding of the germ line.

Authors:  Kathryn Atwell; Sara-Jane Dunn; James M Osborne; Hillel Kugler; E Jane Albert Hubbard
Journal:  Mol Reprod Dev       Date:  2016-10-07       Impact factor: 2.609

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