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This paper aims to perform a phenomenological parametrisation of the standard cosmological model, $\Lambda$CDM, to weigh the different physical processes that define the pattern of the angular power spectra of the Cosmic Microwave…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-22 M. Ruiz-Granda , P. Vielva

We consider two types of Go models of a protein (crambin) and study their kinetics through molecular dynamics simulations. In the first model, the residue -- residue contact interactions are selected based on a cutoff distance, $R_c$,…

Condensed Matter · Physics 2009-11-07 Marek Cieplak , Trinh Xuan Hoang

The adhesion of biological membranes is mediated by the binding of membrane-anchored receptor and ligand proteins. Central questions are how the binding kinetics of these proteins is affected by the membranes and by the membrane anchoring…

Biomolecules · Quantitative Biology 2015-11-30 Jinglei Hu , Guang-Kui Xu , Reinhard Lipowsky , Thomas R. Weikl

Several unexpected features are observed at large angular scales in the CMB temperature anisotropy measurements by both WMAP and Planck. These include the lack of both variance and correlation, alignment of the lowest multipole moments with…

Cosmology and Nongalactic Astrophysics · Physics 2018-07-25 Jessica Muir , Saroj Adhikari , Dragan Huterer

Natural protein sequences contain a record of their history. A common constraint in a given protein family is the ability to fold to specific structures, and it has been shown possible to infer the main native ensemble by analyzing…

Biomolecules · Quantitative Biology 2017-03-16 Rocío Espada , R. Gonzalo Parra , Thierry Mora , Aleksandra M. Walczak , Diego U. Ferreiro

The properties of biological materials like proteins and nucleic acids are largely determined by their primary sequence. While certain segments in the sequence strongly influence specific functions, identifying these segments, or so-called…

Biomolecules · Quantitative Biology 2025-01-14 Akash Pandey , Wei Chen , Sinan Keten

We investigate the folding mechanism of the WW domain Fip35 using a realistic atomistic force field by applying the Dominant Reaction Pathways (DRP) approach. We find evidence for the existence of two folding pathways, which differ by the…

Biomolecules · Quantitative Biology 2011-11-16 S. a Beccara , T. Skrbic , R. Covino , P. Faccioli

Continuous wave optically and electrically detected magnetic resonance spectroscopy (cwODMR/cwEDMR) allow the investigation of paramagnetic states involved in spin-dependent transitions, like recombination and transport. Although…

Materials Science · Physics 2012-09-11 Sang-Yun Lee , Seoyoung Paik , Dane R. McCamey , Christoph Boehme

Modern AI technologies for drug discovery are distributed across heterogeneous platforms-including web applications, desktop environments, and code libraries-leading to fragmented workflows, inconsistent interfaces, and high integration…

Clustering of ligand-binding receptors of different types on thickened isles of the cell membrane, namely lipid rafts, is an experimentally observed phenomenon. Although its influence on cell response is deeply investigated, the role of the…

Biological Physics · Physics 2020-06-01 A. R. Carotenuto , L. Lunghi , V. Piccolo , M. Babaei , K. Dayal , N. M. Pugno , M. Zingales , L. Deseri , M. Fraldi

The synthetic actin network arouses great interest as bio-material due to its soft and wet nature that mimics many biological scaffolding structures. Inside the cell, the actin network is regulated by tens of actin-binding proteins (ABP's),…

Soft Condensed Matter · Physics 2019-03-19 Horacio Lopez-Menendez

One of the main trend in to date research and development is the miniaturization of electronic devices. In this perspective, integrated nanodevices based on proteins or biomolecules are attracting a major interest. In fact, it has been…

Quantitative Methods · Quantitative Biology 2015-06-26 E. Alfinito , C. Pennetta , L. Reggiani

The Periodic Anderson Model (PAM) is widely studied to understand strong correlation physics and especially the competition of antiferromagnetism and singlet formation. Quantum Monte Carlo (QMC) studies have focused both on issues such as…

Strongly Correlated Electrons · Physics 2016-06-29 Nicole Hartman , WeiTing Chiu , Richard Scalettar

Assemblies of allosteric proteins, nano-scale Brownian computers, are the principle information processing devices in biology. The troponin C-troponin I (TnC-TnI) complex, the Ca$^{2+}$-sensitive regulatory switch of the heart, is a…

Soft Condensed Matter · Physics 2009-11-13 John M. Robinson

Neurotensin receptor 1 (NTSR1), a member of the Class A G protein-coupled receptor superfamily, plays an important role in modulating dopaminergic neuronal activity and eliciting opioid-independent analgesia. Recent studies suggest that…

Biomolecules · Quantitative Biology 2025-04-25 Jigang Fan , Chunhao Zhu , Xiaobing Lan , Haiming Zhuang , Mingyu Li , Jian Zhang , Shaoyong Lu

The paradigm that the primary amino acid sequence prescribes structure and thus function has for a long time been central to the understanding of protein science. Though the theory is supported by the behaviour of most structured proteins,…

Biological Physics · Physics 2022-12-19 Rickie Xian , Sarah Rauscher

The effect of signal integration through cis-regulatory modules (CRMs) on synchronization and clustering of populations of two-component genetic oscillators coupled by quorum sensing is in detail investigated. We find that the CRMs play an…

Molecular Networks · Quantitative Biology 2009-04-06 Jiajun Zhang , Zhanjiang Yuan , Tianshou Zhou

Multi-sample microarray experiments have become a standard experimental method for studying biological systems. A frequent goal in such studies is to unravel the regulatory relationships between genes. During the last few years, regression…

Applications · Statistics 2008-12-18 Nancy R. Zhang , Mary C. Wildermuth , Terence P. Speed

Transcription is a fundamental cellular process, and the first step of gene expression. In human cells, it depends on the binding to chromatin of various proteins, including RNA polymerases and numerous transcription factors (TFs).…

The prediction of protein interactions (CPIs) is crucial for the in-silico screening step in drug discovery. Recently, many end-to-end representation learning methods using deep neural networks have achieved significantly better performance…

Quantitative Methods · Quantitative Biology 2020-11-30 Jingtao Wang , Xi Li , Hua Zhang
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