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Rich data and powerful machine learning models allow us to design drugs for a specific protein target \textit{in silico}. Recently, the inclusion of 3D structures during targeted drug design shows superior performance to other target-free…

Biomolecules · Quantitative Biology 2023-03-08 Jiaqi Guan , Wesley Wei Qian , Xingang Peng , Yufeng Su , Jian Peng , Jianzhu Ma

A fundamental goal of research in molecular biology is to understand protein structure. Protein crystallography is currently the most successful method for determining the three-dimensional (3D) conformation of a protein, yet it remains…

Artificial Intelligence · Computer Science 2014-11-17 L. Leherte , J. Glasgow , K. Baxter , E. Steeg , S. Fortier

In this paper, we review the literature on statistical long-range correlation in DNA sequences. We examine the current evidence for these correlations, and conclude that a mixture of many length scales (including some relatively long ones)…

chao-dyn · Physics 2009-10-22 Wentian Li , Thomas G. Marr , Kunihiko Kaneko

Protein-Protein Interaction Networks aim to model the interactome, providing a powerful tool for understanding the complex relationships governing cellular processes. These networks have numerous applications, including functional…

Molecular Networks · Quantitative Biology 2023-10-05 Rodrigo Henrique Ramos , Cynthia de Oliveira Lage Ferreira , Adenilso Simao

Understanding and extracting the patterns of microscopy images has been a major challenge in the biomedical field. Although trained scientists can locate the proteins of interest within a human cell, this procedure is not efficient and…

Computer Vision and Pattern Recognition · Computer Science 2020-06-09 Hanke Chen

Correlation patterns in multiple sequence alignments of homologous proteins can be exploited to infer information on the three-dimensional structure of their members. The typical pipeline to address this task, which we in this paper refer…

Biomolecules · Quantitative Biology 2015-06-18 Christoph Feinauer , Marcin J. Skwark , Andrea Pagnani , Erik Aurell

Proteins in complex with small molecule ligands represent the core of structure-based drug discovery. However, three-dimensional representations are absent from most deep-learning-based generative models. We here present a graph-based…

Biomolecules · Quantitative Biology 2022-04-07 Seung-gu Kang , Jeffrey K. Weber , Joseph A. Morrone , Leili Zhang , Tien Huynh , Wendy D. Cornell

The folding structure of the DNA molecule combined with helper molecules, also referred to as the chromatin, is highly relevant for the functional properties of DNA. The chromatin structure is largely determined by the underlying primary…

Machine Learning · Computer Science 2018-06-14 Bojian Yin , Marleen Balvert , Davide Zambrano , Alexander Schönhuth , Sander Bohte

Understanding how genetic variants influence cellular-level processes is an important step towards understanding how they influence important organismal-level traits, or "phenotypes", including human disease susceptibility. To this end…

Methodology · Statistics 2013-07-30 Heejung Shim , Matthew Stephens

We present Brownian dynamics simulations of the facilitated diffusion of a protein, modelled as a sphere with a binding site on its surface, along DNA, modelled as a semi-flexible polymer. We consider both the effect of DNA organisation in…

Biological Physics · Physics 2012-12-10 C. A. Brackley , M. E. Cates , D. Marenduzzo

Protein-protein interactions are fundamental to many biological processes. Experimental screens have identified tens of thousands of interactions and structural biology has provided detailed functional insight for select 3D protein…

Although both RNA and proteins have densely packed native structures, chain organizations of these two biopolymers are fundamentally different. Motivated by the recent discoveries in chromatin folding that interphase chromosomes have…

Soft Condensed Matter · Physics 2016-12-28 Lei Liu , Changbong Hyeon

The problem of detecting a binding site -- a substring of DNA where transcription factors attach -- on a long DNA sequence requires the recognition of a small pattern in a large background. For short binding sites, the matching probability…

Genomics · Quantitative Biology 2009-11-13 Daniela Bianchi , Brunello Tirozzi

Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we use chromosome-chromosome contact data as knowledge-based…

Biological Physics · Physics 2016-10-31 Marco Di Stefano , Jonas Paulsen , Tonje G. Lien , Eivind Hovig , Cristian Micheletti

DNA is a leading candidate as the next archival storage media due to its density, durability and sustainability. To read (and write) data DNA storage exploits technology that has been developed over decades to sequence naturally occurring…

Emerging Technologies · Computer Science 2022-05-12 Jasmine Quah , Omer Sella , Thomas Heinis

Proteins need to selectively interact with specific targets among a multitude of similar molecules in the cell. But despite a firm physical understanding of binding interactions, we lack a general theory of how proteins evolve high…

Biomolecules · Quantitative Biology 2022-09-28 John M McBride , Jean-Pierre Eckmann , Tsvi Tlusty

Protein is linked to almost every life process. Therefore, analyzing the biological structure and property of protein sequences is critical to the exploration of life, as well as disease detection and drug discovery. Traditional protein…

Machine Learning · Computer Science 2021-12-08 Yijia Xiao , Jiezhong Qiu , Ziang Li , Chang-Yu Hsieh , Jie Tang

We study the search process of a target on a rapidly folding polymer (`DNA') by an ensemble of particles (`proteins'), whose search combines 1D diffusion along the chain, Levy type diffusion mediated by chain looping, and volume exchange. A…

Soft Condensed Matter · Physics 2009-11-11 Michael A. Lomholt , Tobias Ambjornsson , Ralf Metzler

Protein complexes involved in DNA mismatch repair appear to diffuse along dsDNA in order to locate a hemimethylated incision site via a dissociative mechanism. Here, we study the probability that these complexes locate a given target site…

Subcellular Processes · Quantitative Biology 2021-05-12 Kyle Crocker , James London , Andrés Medina , Richard Fishel , Ralf Bundschuh

Spatially proximate amino acids in a protein tend to coevolve. A protein's three-dimensional (3D) structure hence leaves an echo of correlations in the evolutionary record. Reverse engineering 3D structures from such correlations is an open…

Quantitative Methods · Quantitative Biology 2013-01-15 Magnus Ekeberg , Cecilia Lövkvist , Yueheng Lan , Martin Weigt , Erik Aurell