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JournalISSN: 1545-9985

Nature Structural & Molecular Biology 

Nature Portfolio
About: Nature Structural & Molecular Biology is an academic journal published by Nature Portfolio. The journal publishes majorly in the area(s): RNA & Protein structure. It has an ISSN identifier of 1545-9985. Over the lifetime, 5960 publications have been published receiving 667516 citations. The journal is also known as: Nat Struct Mol Biol & Nature structural and molecular biology.
Topics: RNA, Protein structure, DNA, Biology, Chromatin


Papers
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Journal ArticleDOI
TL;DR: A brief description of the origin and early uses of biomolecular simulations is presented, some recent studies that illustrate the utility of such simulations are outlined and their ever-increasing potential for contributing to biology is discussed.
Abstract: Molecular dynamics simulations are important tools for understanding the physical basis of the structure and function of biological macromolecules. The early view of proteins as relatively rigid structures has been replaced by a dynamic model in which the internal motions and resulting conformational changes play an essential role in their function. This review presents a brief description of the origin and early uses of biomolecular simulations. It then outlines some recent studies that illustrate the utility of such simulations and closes with a discussion of their ever-increasing potential for contributing to biology.

2,743 citations

Journal ArticleDOI
TL;DR: Automatic pattern recognition (model building) combined with refinement, allows a structural model to be obtained reliably within a few CPU hours and is demonstrated with examples of a few recently solved structures.
Abstract: In protein crystallography, much time and effort are often required to trace an initial model from an interpretable electron density map and to refine it until it best agrees with the crystallographic data. Here, we present a method to build and refine a protein model automatically and without user intervention, starting from diffraction data extending to resolution higher than 2.3 A and reasonable estimates of crystallographic phases. The method is based on an iterative procedure that describes the electron density map as a set of unconnected atoms and then searches for protein-like patterns. Automatic pattern recognition (model building) combined with refinement, allows a structural model to be obtained reliably within a few CPU hours. We demonstrate the power of the method with examples of a few recently solved structures.

2,463 citations

Journal ArticleDOI
TL;DR: The creation of the wwPDB formalizes the international character of the PDB and ensures that the archive remains single and uniform, and provides a mechanism to ensure consistent data for software developers and users worldwide.
Abstract: mentation will be kept publicly available and the distribution sites will mirror the PDB archive using identical contents and subdirectory structure. However, each member of the wwPDB will be able to develop its own web site, with a unique view of the primary data, providing a variety of tools and resources for the global community. An Advisory Board consisting of appointees from the wwPDB, the International Union of Crystallography and the International Council on Magnetic Resonance in Biological Systems will provide guidance through annual meetings with the wwPDB consortium. This board is responsible for reviewing and determining policy as well as providing a forum for resolving issues related to the wwPDB. Specific details about the Advisory Board can be found in the wwPDB charter, available on the wwPDB web site. The RCSB is the ‘archive keeper’ of wwPDB. It has sole write access to the PDB archive and control over directory structure and contents, as well as responsibility for distributing new PDB identifiers to all deposition sites. The PDB archive is a collection of flat files in the legacy PDB file format 3 and in the mmCIF 4 format that follows the PDB exchange dictionary (http://deposit.pdb.org/ mmcif/). This dictionary describes the syntax and semantics of PDB data that are processed and exchanged during the process of data annotation. It was designed to provide consistency in data produced in structure laboratories, processed by the wwPDB members and used in bioinformatics applications. The PDB archive does not include the websites, browsers, software and database query engines developed by researchers worldwide. The members of the wwPDB will jointly agree to any modifications or extensions to the PDB exchange dictionary. As data technology progresses, other data formats (such as XML) and delivery methods may be included in the official PDB archive if all the wwPDB members concur on the alteration. Any new formats will follow the naming and description conventions of the PDB exchange dictionary. In addition, the legacy PDB format would not be modified unless there is a compelling reason for a change. Should such a situation occur, all three wwPDB members would have to agree on the changes and give the structural biology community 90 days advance notice. The creation of the wwPDB formalizes the international character of the PDB and ensures that the archive remains single and uniform. It provides a mechanism to ensure consistent data for software developers and users worldwide. We hope that this will encourage individual creativity in developing tools for presenting structural data, which could benefit the scientific research community in general.

2,431 citations

Journal ArticleDOI
TL;DR: The general energy landscape picture provides a conceptual framework for understanding both two-state and multi-state folding kinetics and hopes to learn much more about the real shapes of protein folding landscapes.
Abstract: A new view of protein folding kinetics replaces the idea of ‘folding pathways’ with the broader notions of energy landscapes and folding funnels. New experiments are needed to explore them.

2,320 citations

Journal ArticleDOI
TL;DR: A new role for circRNAs in regulating gene expression in the nucleus is revealed, in which EIciRNAs enhance the expression of their parental genes in cis, and a regulatory strategy for transcriptional control via specific RNA-RNA interaction between U1 snRNA and EICIRNAs is highlighted.
Abstract: Noncoding RNAs (ncRNAs) have numerous roles in development and disease, and one of the prominent roles is to regulate gene expression A vast number of circular RNAs (circRNAs) have been identified, and some have been shown to function as microRNA sponges in animal cells Here, we report a class of circRNAs associated with RNA polymerase II in human cells In these circRNAs, exons are circularized with introns 'retained' between exons; we term them exon-intron circRNAs or EIciRNAs EIciRNAs predominantly localize in the nucleus, interact with U1 snRNP and promote transcription of their parental genes Our findings reveal a new role for circRNAs in regulating gene expression in the nucleus, in which EIciRNAs enhance the expression of their parental genes in cis, and highlight a regulatory strategy for transcriptional control via specific RNA-RNA interaction between U1 snRNA and EIciRNAs

2,077 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023118
2022198
2021129
2020158
2019166
2018161