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The training of molecular models of quantum mechanical properties based on statistical machine learning requires large datasets which exemplify the map from chemical structure to molecular property. Intelligent a priori selection of…

While all the information required for the folding of a protein is contained in its amino acid sequence, one has not yet learnt how to extract this information so as to predict the detailed, biological active, three-dimensional structure of…

Condensed Matter · Physics 2007-05-23 R. A. Broglia , G. Tiana

{\it De novo} protein sequencing is essential for understanding cellular processes that govern the function of living organisms and all post-translational events and other sequence modifications that occur after a protein has been…

Biological Physics · Physics 2015-09-17 P. Boynton , M. Di Ventra

The chemical evolution of the Galaxy is followed for the elements affected by neutron capture, in particular for those in the atomic number range 56 to 63 (Ba, La, Ce, Pr, Nd, Sm and Eu). Neutrons by the major 13^C source, released in…

Astrophysics · Physics 2007-05-23 C. Travaglio , D. Galli , R. Gallino , M. Busso , F. Ferrini , O. Straniero

Matrix forms of the representation of the multi-level system of molecular-genetic alphabets have revealed algebraic properties of this system. Families of genetic (4*4)- and (8*8)-matrices show unexpected connections of the genetic system…

Other Quantitative Biology · Quantitative Biology 2016-07-18 Sergey V. Petoukhov

We say that a permutation p is 'merged' from permutations q and r, if we can color the elements of p red and blue so that the red elements are order-isomorphic to q and the blue ones to r. A 'permutation class' is a set of permutations…

Combinatorics · Mathematics 2013-07-02 Vít Jelínek , Pavel Valtr

The golden code is a full-rate full-diversity space-time code for two transmit antennas that has a maximal coding gain. Because each codeword conveys four information symbols from an M-ary quadrature-amplitude modulation alphabet, the…

Information Theory · Computer Science 2008-11-14 Mohanned O. Sinnokrot , John R. Barry

Engineering new glass compositions have experienced a sturdy tendency to move forward from (educated) trial-and-error to data- and simulation-driven strategies. In this work, we developed a computer program that combines data-driven…

Materials Science · Physics 2021-03-17 Daniel R. Cassar , Gisele G. dos Santos , Edgar D. Zanotto

Quantitative criteria are proposed to identify genes (and sets of genes) whose expression marks a specific brain region (or a set of brain regions). Gene-expression energies, obtained for thousands of mouse genes by numerization of in-situ…

Quantitative Methods · Quantitative Biology 2011-05-09 Pascal Grange , Partha P. Mitra

Explainable and interpretable unsupervised machine learning helps understand the underlying structure of data. We introduce an ensemble analysis of machine learning models to consolidate their interpretation. Its application shows that…

Biomolecules · Quantitative Biology 2024-01-17 Anna Braghetto , Enzo Orlandini , Marco Baiesi

We propose a physical model to describe the mechanisms of two major scenarios of the genetic code evolution, the codon capture and ambiguous intermediate scenarios, in a consistent manner. We sketch the lowest dimensional version of our…

Populations and Evolution · Quantitative Biology 2009-09-30 Tatsuro Yamashita , Osamu Narikiyo

Generating molecules, both in a directed and undirected fashion, is a huge part of the drug discovery pipeline. Genetic algorithms (GAs) generate molecules by randomly modifying known molecules. In this paper we show that GAs are very…

Neural and Evolutionary Computing · Computer Science 2023-10-16 Austin Tripp , José Miguel Hernández-Lobato

In the last few decades, the human allosomes are engrossed in an intensive attention among researchers. The allosomes are now already been sequenced and found there are about 2000 and 78 genes in human X and Y chromosomes respectively. The…

The goal of this project is to develop the Genetic Algorithms (GA) for solving the Schaffer F6 function in fewer than 4000 function evaluations on a total of 30 runs. Four types of Genetic Algorithms (GA) are presented - Generational GA…

Neural and Evolutionary Computing · Computer Science 2019-11-04 Alison Jenkins , Vinika Gupta , Alexis Myrick , Mary Lenoir

In this paper we present a block coded modulation scheme for a 2 x 2 MIMO system over slow fading channels, where the inner code is the Golden Code. The scheme is based on a set partitioning of the Golden Code using two-sided ideals whose…

Information Theory · Computer Science 2008-05-30 L. Luzzi , G. Rekaya-Ben Othman , J. -C. Belfiore , E. Viterbo

We have presented the basic knowledge on the structure of molecules coding the genetic information, mechanisms of transfer of this information from DNA to proteins and phenomena connected with replication of DNA. In particular, we have…

Genomics · Quantitative Biology 2009-09-30 Dorota Mackiewicz , Stanislaw Cebrat

Alzheimer's disease (AD) is a serious neurodegenerative disease consisting of four stages where the illness gets progressively worse. It is of great significance to detect the gene regulatory mechanism as AD progresses and, thus, to help us…

Methodology · Statistics 2023-03-14 Shanjun Mao , Xiaodan Fan

We develop a simple optimization procedure for assigning binary values to the amino acids. The binary values are determined by a maximization of the degree of pattern conservation in groups of closely related protein sequences. The…

chem-ph · Physics 2008-02-03 Anders Irbäck , Frank Potthast

Levine defined the rational algebraic knot concordance group and proved that each nontrivial element is of order two, of order four, or of infinite order. The determination of the order of an element depends on a p-adic analysis for all…

Geometric Topology · Mathematics 2013-09-30 Charles Livingston

Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents. Recent advances in deep learning and natural language processing have…

Computation and Language · Computer Science 2024-05-15 Shaoxiong Ji , Wei Sun , Xiaobo Li , Hang Dong , Ara Taalas , Yijia Zhang , Honghan Wu , Esa Pitkänen , Pekka Marttinen
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