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Related papers: Virus-Encoded Ribonucleotide Reductases

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There has been a recent explosion of computer vision models which perform many tasks and are composed of an image encoder (usually a ViT) and an autoregressive decoder (usually a Transformer). However, most of this work simply presents one…

In order to prevent detection and evade signature-based scanning methods, which are normally exploited by antivirus software, metamorphic viruses use several various obfuscation approaches. They transform their code in new instances as look…

Cryptography and Security · Computer Science 2011-04-19 Babak Bashari Rad , Maslin Masrom

Ribonucleic acid (RNA) plays fundamental roles in biological systems, from carrying genetic information to performing enzymatic function. Understanding and designing RNA can enable novel therapeutic application and biotechnological…

Biomolecules · Quantitative Biology 2025-12-01 Dana Rubin , Allan dos Santos Costa , Manvitha Ponnapati , Joseph Jacobson

Modelising the translation errors by suitable mathematical operators in the crystal basis model of the genetic code and requiring that codons prone to be misread encode the same amino-acid, the main features of the organisation in…

Mathematical Physics · Physics 2007-05-23 A. Sciarrino

We develop a stochastic model for the programmed frameshift of ribosomes synthesizing a protein while moving along a mRNA template. Normally the reading frame of a ribosome decodes successive triplets of nucleotides on the mRNA in a…

Biological Physics · Physics 2017-06-01 Bhavya Mishra , Gunter M. Schütz , Debashish Chowdhury

As I compress on the canvas of a few pages here major results of my research on the retinoblastoma tumor suppressor protein (RB) spreading over the past 15 years, an exciting picture emerges on this unique host molecule which surpasses in…

Biomolecules · Quantitative Biology 2007-06-15 Razvan Tudor Radulescu

We present the discriminative recurrent sparse auto-encoder model, comprising a recurrent encoder of rectified linear units, unrolled for a fixed number of iterations, and connected to two linear decoders that reconstruct the input and…

Machine Learning · Computer Science 2013-03-20 Jason Tyler Rolfe , Yann LeCun

Networks coming from protein-protein interactions, transcriptional regulation, signaling, or metabolism may appear to have "unusual" properties. To quantify this, it is appropriate to randomize the network and test the hypothesis that the…

Molecular Networks · Quantitative Biology 2011-07-18 Areejit Samal , Olivier C. Martin

Evolution of genetic code is studied as the change in the choice of enzymes that are used to synthesize amino acids from the genetic information of nucleic acids. We propose the following theory: the differentiation of physiological states…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 H. Takagi , K. Kaneko , T. Yomo

Many {\it ribosomes} simultaneously move on the same messenger RNA (mRNA), each synthesizing separately a copy of the same protein. In contrast to the earlier models, here {\it we develop a ``unified'' theoretical model} that not only…

Biological Physics · Physics 2007-05-23 Aakash Basu , Debashish Chowdhury

This paper presents the Ensemble Nucleotide Byte-level Encoder-Decoder (ENBED) foundation model, analyzing DNA sequences at byte-level precision with an encoder-decoder Transformer architecture. ENBED uses a sub-quadratic implementation of…

Machine Learning · Computer Science 2024-08-26 Aditya Malusare , Harish Kothandaraman , Dipesh Tamboli , Nadia A. Lanman , Vaneet Aggarwal

In this paper we show that living cells can multiplex biochemical signals, i.e. transmit multiple signals through the same signaling pathway simultaneously, and yet respond to them very specifically. We demonstrate how two binary input…

Molecular Networks · Quantitative Biology 2012-06-01 Wiet de Ronde , Filipe Tostevin , Pieter Rein ten Wolde

Enzyme is the major workhorse to carry out the diverse cellular functions. It catalyzes the biological reactions with a high specificity, with its topology playing a crucial role. For ecologically safe production of numerous bioproducts…

Biomolecules · Quantitative Biology 2021-06-04 Prabha Sankara Narayanan , Ashish Runthala

Restricted Boltzmann Machines are simple yet powerful neural networks. They can be used for learning structure in data, and are used as a building block of more complex neural architectures. At the same time, their simplicity makes them…

Disordered Systems and Neural Networks · Physics 2025-01-09 Giovanni di Sarra , Barbara Bravi , Yasser Roudi

In recent years, substantial advancements have been achieved in understanding the diversity of the human virome and its intricate roles in human health and diseases. Despite this progress, the field of human virome research remains nascent,…

Quantitative Methods · Quantitative Biology 2024-02-26 Yifan Wu , Yousong Peng

Generative processes in biology and other fields often produce data that can be regarded as resulting from a composition of basic features. Here we present an unsupervised method based on autoencoders for inferring these basic features of…

Quantitative Methods · Quantitative Biology 2019-10-04 Matteo Negri , Davide Bergamini , Carlo Baldassi , Riccardo Zecchina , Christoph Feinauer

Tremendous effort has been given to the development of diagnostic tests, preventive vaccines, and therapeutic medicines for coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Much of…

Genomics · Quantitative Biology 2020-04-30 Rui Wang , Yuta Hozumi , Changchuan Yin , Guo-Wei Wei

Understanding the pathways by which viral capsid proteins assemble around their genomes could identify key intermediates as potential drug targets. In this work we use computer simulations to characterize assembly over a wide range of…

Biomolecules · Quantitative Biology 2014-05-15 Jason D Perlmutter , Matthew R Perkett , Michael F Hagan

Living cells provide a fluctuating, out-of-equilibrium environment in which genes must coordinate cellular function. DNA looping, which is a common means of regulating transcription, is very much a stochastic process; the loops arise from…

Biomolecules · Quantitative Biology 2015-05-18 Yih-Fan Chen , J. N. Milstein , Jens-Christian Meiners

Chromatin remodeling machineries are abundant and diverse in eukaryotic cells. They have been involved in a variety of situations such as histone exchange and DNA repair, but their importance in gene expression remains unclear. Although the…

Molecular Networks · Quantitative Biology 2015-09-25 Denis Michel