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Related papers: PDB_Amyloid: The Extended Live Amyloid Structure L…

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The Protein Data Bank (PDB) today contains more than 153,000 entries with the 3-dimensional structures of biological macromolecules. Using the rich resources of this repository, it is possible identifying subsets with specific, interesting…

Biomolecules · Quantitative Biology 2020-03-09 Kristof Takacs , Vince Grolmusz

Large scale initiatives such as the Human Genome Project, Structural Genomics, and individual research teams have provided large deposits of genomic and proteomic data. The transfer of data to knowledge has become one of the existing…

Databases · Computer Science 2019-11-21 Casey A Cole , Christopher Ott , Diego Valdes , Homayoun Valafar

Graph theory and graph mining constitute rich fields of computational techniques to study the structures, topologies and properties of graphs. These techniques constitute a good asset in bioinformatics if there exist efficient methods for…

Biomolecules · Quantitative Biology 2016-04-04 Wajdi Dhifli , Abdoulaye Baniré Diallo

Computationally predicting protein-protein interactions (PPIs) is challenging due to the lack of integrated, multimodal protein representations. DPEB is a curated collection of 22,043 human proteins that integrates four embedding types:…

Despite significant progress in static protein structure collection and prediction, the dynamic behavior of proteins, one of their most vital characteristics, has been largely overlooked in prior research. This oversight can be attributed…

Biomolecules · Quantitative Biology 2024-09-19 Ce Liu , Jun Wang , Zhiqiang Cai , Yingxu Wang , Huizhen Kuang , Kaihui Cheng , Liwei Zhang , Qingkun Su , Yining Tang , Fenglei Cao , Limei Han , Siyu Zhu , Yuan Qi

The Protein Data Bank (PDB) contains the atomic structures of over 105 biomolecules with better than 2.8A resolution. The listing of the identities and coordinates of the atoms comprising each macromolecule permits an analysis of the…

Biomolecules · Quantitative Biology 2018-12-05 Hyuntae Na , Daniel ben-Avraham , Monique M. Tirion

Protein aggregation occurs when misfolded or unfolded proteins physically bind together, and can promote the development of various amyloid diseases. This study aimed to construct surrogate models for predicting protein aggregation via…

Quantitative Methods · Quantitative Biology 2023-04-10 Seungpyo Kang , Minseon Kim , Jiwon Sun , Myeonghun Lee , Kyoungmin Min

Protein-protein interaction (PPI) networks, providing a comprehensive landscape of protein interacting patterns, enable us to explore biological processes and cellular components at multiple resolutions. For a biological process, a number…

Molecular Networks · Quantitative Biology 2016-04-13 Xiuli Ma , Guangyu Zhou , Jingjing Wang , Jian Peng , Jiawei Han

Peptides are ubiquitous and important biologically derived molecules, that have been found to self-assemble to form a wide array of structures. Extensive research has explored the impacts of both internal chemical composition and external…

Soft Condensed Matter · Physics 2024-11-11 Zhenze Yang , Sarah K. Yorke , Tuomas P. J. Knowles , Markus J. Buehler

Amyloid fibers are aggregates of proteins. They are built out of a peptide called $\beta$--amyloid (A$\beta$) containing between 41 and 43 residues, produced by the action of an enzyme which cleaves a much larger protein known as the…

Biomolecules · Quantitative Biology 2009-11-10 G. Tiana , F. Simona , R. A. Broglia , G. Colombo

The remarkable structural diversity of modern proteins reflects millions of years of evolution, during which sequence space has expanded while many structural features remain conserved. This conservation is evident not only among homologous…

Comprehensive knowledge of protein-ligand interactions should provide a useful basis for annotating protein functions, studying protein evolution, engineering enzymatic activity, and designing drugs. To investigate the diversity and…

Biomolecules · Quantitative Biology 2009-02-11 Akira R. Kinjo , Haruki Nakamura

Methods from artificial intelligence (AI), in general, and machine learning, in particular, have kept conquering new territories in numerous areas of science. Most of the applications of these techniques are restricted to the classification…

Biomolecules · Quantitative Biology 2022-10-24 Kristof Takacs , Balint Varga , Viktor Farkas , Andras Perczel , Vince Grolmusz

In the present work, we review the fundamental methods which have been developed in the last few years for classifying into families and clans the distribution of amino acids in protein databases. This is done through functions of random…

Biomolecules · Quantitative Biology 2018-06-15 R. P. Mondaini , S. C. de Albuquerque Neto

The Electron Microscopy Data Bank (EMDB) is a rapidly growing repository for the dissemination of structural data from single-particle reconstructions of supramolecular protein assemblies including motors, chaperones, cytoskeletal…

Biomolecules · Quantitative Biology 2010-01-06 Do-Nyun Kim , Cong-Tri Nguyen , Mark Bathe

Membrane Proteins (MPs) account for around 15-39% of the human proteome and assume a critical role in a vast set of cellular and physiological mechanisms, including molecular transport, nutrient uptake, toxin and waste product clearance,…

A method to search for local structural similarities in proteins at atomic resolution is presented. It is demonstrated that a huge amount of structural data can be handled within a reasonable CPU time by using a conventional relational…

Biomolecules · Quantitative Biology 2007-12-28 Akira R. Kinjo , Haruki Nakamura

Structural biology has made significant progress in determining membrane proteins, leading to a remarkable increase in the number of available structures in dedicated databases. The inherent complexity of membrane protein structures,…

Composed of amino acid chains that influence how they fold and thus dictating their function and features, proteins are a class of macromolecules that play a central role in major biological processes and are required for the structure,…

Quantitative Methods · Quantitative Biology 2022-07-15 Aaron Wang

In this study, we present a method of pattern mining based on network theory that enables the identification of protein structures or complexes from synthetic volume densities, without the knowledge of predefined templates or human biases…

Quantitative Methods · Quantitative Biology 2022-10-18 August George , Doo Nam Kim , Trevor Moser , Ian T. Gildea , James E. Evans , Margaret S. Cheung
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