id string | sources list | title string | abstract string | authors list | categories list | fields_of_study list | published_date timestamp[s] | url string | pdf_url string | arxiv_id string | doi string | citation_count int64 | influential_citation_count int64 | has_code bool | code_url string | venue string | quality_score float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dba139ff91c1a01d9235851f456cc6ad5eeda58331bf72a33e469e46ccd4d8c1 | [
"arxiv",
"semantic_scholar"
] | Minimum Data Requirements and Supplemental Angle Constraints for Protein Structure Prediction with REDCRAFT | One algorithm to predict protein structure is the residual dipolar coupling based residue assembly and filter tool (REDCRAFT). This algorithm exploits an exponential reduction of the search space of all possible structures to find a structure that best fits a set of experimental residual dipolar couplings. However, the... | [
"E. Timko",
"P. Shealy",
"M. Bryson",
"H. Valafar"
] | [
"q-bio.BM"
] | [
"Computer Science",
"Physics",
"Biology"
] | 2019-10-31T00:00:00 | https://arxiv.org/abs/1910.14469 | https://arxiv.org/pdf/1910.14469v2 | 1910.14469 | null | 7 | 0 | false | null | International Conference on Bioinformatics & Computational Biology | 0.2258 |
5ea2ce8a2d4d9c928835649505fb7a4439a6b30fb9d976366316391049a0bd6a | [
"arxiv",
"semantic_scholar"
] | A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction | The ABCD Neurocognitive Prediction Challenge is a community driven competition asking competitors to develop algorithms to predict fluid intelligence score from T1-w MRIs. In this work, we propose a deep learning combined with gradient boosting machine framework to solve this task. We train a convolutional neural netwo... | [
"Yeeleng S. Vang",
"Yingxin Cao",
"Xiaohui Xie"
] | [
"cs.CV",
"q-bio.NC"
] | [
"Computer Science",
"Biology"
] | 2019-10-16T00:00:00 | https://arxiv.org/abs/1910.07640 | https://arxiv.org/pdf/1910.07640v1 | 1910.07640 | 10.1007/978-3-030-31901-4_1 | 9 | 0 | false | null | In: Pohl K., Thompson W., Adeli E., Linguraru M. (eds) Adolescent Brain Cognitive Development Neurocognitive Prediction. ABCD-NP 2019. Lecture Notes in Computer Science, vol 11791. Springer, Cham (2019) | 0.25 |
8bbef3f9f2df58d7bdf81f6b989d7701bd1c65bbc58b69ade15de25623b9d35a | [
"arxiv",
"semantic_scholar"
] | A Continuous Effective Model of the Protein Dynamics | The theory of elastic rods can be used to describe certain geometric and topological properties of the DNA molecules. A similar effective field theory approach was previously suggested to describe the conformations and dynamics of proteins. In this letter we report a detailed study of the basic features of a version of... | [
"Dmitry Melnikov",
"Alyson B. F. Neves"
] | [
"q-bio.BM",
"cond-mat.soft",
"hep-ph",
"hep-th",
"physics.bio-ph"
] | [
"Biology",
"Physics",
"Chemistry"
] | 2019-08-30T00:00:00 | https://arxiv.org/abs/1908.11739 | https://arxiv.org/pdf/1908.11739v1 | 1908.11739 | null | 1 | 0 | false | null | null | 0.0753 |
6c5153341454f6a399116f37ae62b3bb30b6b70a0105135395cdd3fe6e4cb31b | [
"arxiv",
"semantic_scholar"
] | In silico prediction of protein flexibility with local structure approach | Flexibility is an intrinsic essential feature of protein structures, directly linked to their functions. To this day, most of the prediction methods use the crystallographic data (namely B-factors) as the only indicator of protein's inner flexibility and predicts them as rigid or flexible.PredyFlexy stands differently ... | [
"Tarun Narwani",
"Catherine Etchebest",
"Pierrick Craveur",
"Sylvain Léonard",
"Joseph Rebehmed",
"Narayanaswamy Srinivasan",
"Aurélie Bornot",
"Jean-Christophe Gelly",
"Alexandre de Brevern"
] | [
"q-bio.QM",
"q-bio.BM"
] | [
"Medicine",
"Mathematics",
"Biology"
] | 2019-08-14T00:00:00 | https://arxiv.org/abs/1908.05120 | https://arxiv.org/pdf/1908.05120v1 | 1908.05120 | 10.1016/j.biochi.2019.07.025 | 34 | 0 | true | null | Biochimie | 0.386 |
1cbe67b7a09b0c3bc437279e6d171b10184dd10435901c908e91933987004311 | [
"arxiv",
"semantic_scholar"
] | Analyses of protein cores reveal fundamental differences between solution and crystal structures | There have been several studies suggesting that protein structures solved by NMR spectroscopy and x-ray crystallography show significant differences. To understand the origin of these differences, we assembled a database of high-quality protein structures solved by both methods. We also find significant differences bet... | [
"Zhe Mei",
"John D. Treado",
"Alex T. Grigas",
"Zachary A. Levine",
"Lynne Regan",
"Corey S. O'Hern"
] | [
"q-bio.BM",
"physics.bio-ph"
] | [
"Medicine",
"Biology",
"Physics",
"Materials Science"
] | 2019-07-18T00:00:00 | https://arxiv.org/abs/1907.08233 | https://arxiv.org/pdf/1907.08233v1 | 1907.08233 | 10.1002/prot.25884 | 22 | 0 | false | null | Proteins: Structure, Function, and Bioinformatics | 0.3404 |
f5c136bea9c0d82ad7a4c01bdfef1d11812d1350c14ee99d6150ce403dc96f72 | [
"arxiv",
"semantic_scholar"
] | AmoebaContact and GDFold: a new pipeline for rapid prediction of protein structures | Native contacts between residues could be predicted from the amino acid sequence of proteins, and the predicted contact information could assist the de novo protein structure prediction. Here, we present a novel pipeline of a residue contact predictor AmoebaContact and a contact-assisted folder GDFold for rapid protein... | [
"Wenzhi Mao",
"Wenze Ding",
"Haipeng Gong"
] | [
"q-bio.BM"
] | [
"Biology",
"Computer Science"
] | 2019-05-28T00:00:00 | https://arxiv.org/abs/1905.11640 | https://arxiv.org/pdf/1905.11640v1 | 1905.11640 | null | 0 | 0 | false | null | null | 0 |
e457d395bd990dc398b3aa8b2700554e0388a313ec49855a11f65a19bd6565fd | [
"arxiv",
"semantic_scholar"
] | Formal models of Structure Building in Music, Language and Animal Songs | Human language, music and a variety of animal vocalisations constitute ways of sonic communication that exhibit remarkable structural complexity. While the complexities of language and possible parallels in animal communication have been discussed intensively, reflections on the complexity of music and animal song, and... | [
"Willem Zuidema",
"Dieuwke Hupkes",
"Geraint Wiggins",
"Constance Scharff",
"Martin Rohrmeier"
] | [
"cs.CL"
] | [
"Computer Science"
] | 2019-01-16T00:00:00 | https://arxiv.org/abs/1901.05180 | https://arxiv.org/pdf/1901.05180v1 | 1901.05180 | null | 2 | 0 | false | null | arXiv.org | 0.1193 |
075d96b46a9190ebc6c151580403d68c97b390a987aeab760dc34638b7bfece5 | [
"arxiv",
"semantic_scholar"
] | Estimation of Distribution Algorithm for Protein Structure Prediction | Proteins are essential for maintaining life. For example, knowing the structure of a protein, cell regulatory mechanisms of organisms can be modeled, supporting the development of disease treatments or the understanding of relationships between protein structures and food attributes. However, discovering the structure ... | [
"Daniel Bonetti",
"Alexandre Delbem",
"Dorival Leão",
"Jochen Einbeck"
] | [
"q-bio.BM"
] | [
"Chemistry",
"Biology"
] | 2019-01-04T00:00:00 | https://arxiv.org/abs/1901.01059 | https://arxiv.org/pdf/1901.01059v1 | 1901.01059 | null | 0 | 0 | false | null | null | 0 |
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