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Cells may control fluctuations in protein levels by means of negative autoregulation, where transcription factors bind DNA sites to repress their own production. Theoretical studies have assumed a single binding site for the repressor,…

Molecular Networks · Quantitative Biology 2017-05-24 Iván M. Lengyel , Luis G. Morelli

Signal transduction within biological cells is governed by networks of interacting proteins. Communication between these proteins is mediated by signaling molecules which bind to receptors and induce stochastic transitions between different…

Molecular Networks · Quantitative Biology 2017-04-05 Gonzalo Hernandez-Hernandez , Jesse Myers , Enric Alvarez-Lacalle , Yohannes Shiferaw

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

Switch-like responses arising from bistability have been linked to cell signaling processes and memory. Revealing the shape and properties of the set of parameters that lead to bistability is necessary to understand the underlying…

Molecular Networks · Quantitative Biology 2023-04-26 Máté L. Telek , Elisenda Feliu

Posttranslational modification of proteins is key in transmission of signals in cells. Many signaling pathways contain several layers of modification cycles that mediate and change the signal through the pathway. Here, we study a simple…

Quantitative Methods · Quantitative Biology 2010-12-21 Elisenda Feliu , Michael Knudsen , Lars N. Andersen , Carsten Wiuf

Biomolecular self-assembly spatially segregates proteins with a limited number of binding sites (valence) into condensates that coexist with a dilute phase. We develop a many-body lattice model for a three-component system of proteins with…

Soft Condensed Matter · Physics 2022-01-13 Saroj Kumar Nandi , Daniel Österle , Meta Heidenreich , Emmanuel D. Levy , Samuel A. Safran

Predicting accurate protein-ligand binding affinity is important in drug discovery but remains a challenge even with computationally expensive biophysics-based energy scoring methods and state-of-the-art deep learning approaches. Despite…

Many types of cells can sense external ligand concentrations with cell-surface receptors at extremely high accuracy. Interestingly, ligand-bound receptors are often internalized, a process also known as receptor-mediated endocytosis. While…

Biological Physics · Physics 2015-05-18 Gerardo Aquino , Robert G. Endres

Collective sensing by interacting cells is observed in a variety of biological systems, and yet a quantitative understanding of how sensory information is collectively encoded is lacking. Here we investigate the ATP-induced calcium dynamics…

Cell Behavior · Quantitative Biology 2017-09-20 Garrett D Potter , Tommy A Byrd , Andrew Mugler , Bo Sun

Multistationarity, underlies biochemical switching and cellular decision-making. We study how multistationarity in the sequential n-site phosphorylation-dephosphorylation cycle is affected when only some species are open, meaning allowed to…

Dynamical Systems · Mathematics 2025-11-14 Praneet Nandan , Beatriz Pascual-Escudero , Diego Rojas La Luz

Cells measure concentrations of external ligands by capturing ligand molecules with cell surface receptors. The numbers of molecules captured by different receptors co-vary because they depend on the same extrinsic ligand fluctuations.…

Neurons and Cognition · Quantitative Biology 2016-09-21 Vijay Singh , Martin Tchernookov , Ilya Nemenman

Understanding the insulin signaling cascade provides insights on the underlying mechanisms of biological phenomena such as insulin resistance, diabetes, Alzheimer's disease, and cancer. For this reason, previous studies utilized chemical…

Molecular Networks · Quantitative Biology 2024-05-20 Patrick Vincent N. Lubenia , Eduardo R. Mendoza , Angelyn R. Lao

Feedback in sensory biochemical networks can give rise to bifurcations in cells' behavioral response. These bifurcations share many properties with thermodynamic critical points. Evidence suggests that biological systems may operate near…

Biological Physics · Physics 2020-12-04 Michael Vennettilli , Amir Erez , Andrew Mugler

Characterization of pluripotent states, in which cells can both self-renew and differentiate, and the irreversible loss of pluripotency are important research areas in developmental biology. In particular, an understanding of these…

Molecular Networks · Quantitative Biology 2015-09-02 Tadashi Miyamoto , Chikara Furusawa , Kunihiko Kaneko

Side chain flexibility is an important factor in ligand binding. In order to determine the extent to which side chain flexibility is involved in ligand binding, a knowledge-based approach was taken. A database composed of examples of…

Biomolecules · Quantitative Biology 2013-01-22 Rafael Najmanovich

We are looking at local protein interaction networks from the perspective of directed, labeled graphs with quantitative values for monotonic changes in concentrations. These systems can be used to perform stability analysis for a stable…

Molecular Networks · Quantitative Biology 2007-05-23 Gabriele Scheler

In this perspective, we discuss where and how accounting for electronic many-body polarization affects the accuracy of classical molecular dynamics simulations of biomolecules.While the effects of electronic polarization are highly…

Chemical Physics · Physics 2021-03-29 Josef Melcr , Jean-Philip Piquemal

We investigate theoretically the effect of polymer tension on the collective behavior of reversibly binding cross-links. For this purpose, we employ a model of two weakly bending wormlike chains aligned in parallel by a tensile force, with…

Biological Physics · Physics 2015-02-10 Panayotis Benetatos , Alice von der Heydt , Annette Zippelius

Many biological tissues feature a heterogeneous network of fibers whose tensile and bending rigidity contribute substantially to these tissues' elastic properties. Rigidity percolation has emerged as a important paradigm for relating these…

Protein-ligand complex structures have been utilised to design benchmark machine learning methods that perform important tasks related to drug design such as receptor binding site detection, small molecule docking and binding affinity…

Biomolecules · Quantitative Biology 2021-08-26 Rishal Aggarwal , Akash Gupta , U Deva Priyakumar