中文
相关论文

相关论文: Multiphasic interactions between nucleotides and t…

200 篇论文

The transcription of DNA into mRNA is initiated and aided by a number of transcription factors (TFs), proteins with DNA-binding regions that attach themselves to binding sites in the DNA (transcription factor binding sites, TFBSs). As it…

生物大分子 · 定量生物学 2007-05-23 Mikael Huss , Karin Nordstrom

Transcription factors (TFs), the key players in transcriptional regulation, have attracted great experimental attention, yet the functions of most human TFs remain poorly understood. Recent capabilities in genome-wide protein binding…

分子网络 · 定量生物学 2016-02-23 Yong Fuga Li , Russ B. Altman

Graph heterophily, where connected nodes have different labels, has attracted significant interest recently. Most existing works adopt a simplified approach - using low-pass filters for homophilic graphs and high-pass filters for…

机器学习 · 计算机科学 2025-10-14 Shuaicheng Zhang , Haohui Wang , Junhong Lin , Xiaojie Guo , Yada Zhu , Si Zhang , Dongqi Fu , Dawei Zhou

We study the nonlinear optical properties of heterojunctions made of graphene nanoribbons (GNRs) consisting of two segments with either the same or different topological properties. By utilizing a quantum mechanical approach that…

光学 · 物理学 2023-07-14 Hanying Deng , Zhihao Qu , Yingji He , Changming Huang , Nicolae C. Panoiu , Fangwei Ye

Bacteria pose unique challenges for genome-wide association studies (GWAS) because of strong structuring into distinct strains and substantial linkage disequilibrium across the genome. While methods developed for human studies can correct…

The stability, electronic and optical properties of single-walled carbon nanotubes (CNTs) and graphene noncovalently functionalized with free-base tetraphenylporphyrin (TPP) molecules is addressed by density functional theory calculations,…

材料科学 · 物理学 2015-06-11 Walter Orellana , J. D. Correa

Molecular docking is a core tool in drug discovery for predicting ligand-target interactions. Despite the availability of diverse search-based and machine learning approaches, no single docking algorithm consistently dominates, as…

人工智能 · 计算机科学 2025-10-01 Siyuan Cao , Hongxuan Wu , Jiabao Brad Wang , Yiliang Yuan , Mustafa Misir

Based on a thermodynamic analysis of the kinetic model for the protein phosphorylation-dephosphorylation cycle, we study the ATP (or GTP) energy utilization of this ubiquitous biological signal transduction process. It is shown that the…

生物物理 · 物理学 2007-05-23 Hong Qian

Protein synthesis-dependent, late long-term potentiation (LTP) and depression (LTD) at glutamatergic hippocampal synapses are well characterized examples of long-term synaptic plasticity. Persistent increased activity of the enzyme protein…

神经元与认知 · 定量生物学 2015-03-13 Paul Smolen , Douglas A. Baxter , John H. Byrne

T cell receptors (TCRs) bind foreign or self-peptides attached to major histocompatibility complex (MHC) molecules, and the strength of this interaction determines T cell activation. Optimizing the ability of T cells to recognize a…

种群与进化 · 定量生物学 2018-03-23 Hanrong Chen , Arup K. Chakraborty , Mehran Kardar

The three dimensional structure of a protein is an outcome of the interactions of its constituent amino acids in 3D space. Considering the amino acids as nodes and the interactions among them as edges we have constructed and analyzed…

生物大分子 · 定量生物学 2010-07-26 Dhriti Sengupta , Sudip Kundu

Glycans are structurally diverse and flexible biomolecules that play key roles in many biological processes. Their conformational variability makes the modeling of their interactions with proteins particularly challenging. This chapter…

生物大分子 · 定量生物学 2026-03-19 Victor Reys , Marco Giulini , Alexandre M. J. J. Bonvin

G-protein coupled receptors (GPCRs), a major gatekeeper of extracellular signals on plasma membrane, are unarguably one of the most important therapeutic targets. Given the recent discoveries of allosteric modulations, an allosteric wiring…

生物大分子 · 定量生物学 2013-10-16 Yoonji Lee , Sun Choi , Changbong Hyeon

Hypothesis. Isoniazid is one of the primary drugs used in tuberculosis treatment. Isoniazid encapsulation in liposomal vesicles can improve drug therapeutic index and minimize toxic and side effects. In this work, we consider mixtures of…

Triply periodic minimal surfaces (TPMS) are discovered to conform to surfaces of given charge density distributions embedded in crystals [Z. Kristallogr. \textbf{170}, 138 (1985)]. Based on our previous work [Phys. Rev. Mater. \textbf{9},…

材料科学 · 物理学 2025-10-14 M. Yin , D. D. Vvedensky

Proteins are commonly used by biochemical industry for numerous processes. Refining these proteins' properties via mutations causes stability effects as well. Accurate computational method to predict how mutations affect protein stability…

机器学习 · 统计学 2018-03-26 Emmi Jokinen , Markus Heinonen , Harri Lähdesmäki

An optimization technique is used to determine the pairwise interactions between amino acids in globular proteins. A numerical strategy is applied to a set of proteins for maximizing the native fold stability with respect to alternative…

软凝聚态物质 · 物理学 2007-05-23 Giovanni Settanni , Cristian Micheletti , Jayanth Banavar , Amos Maritan

Spin-polarized first-principles calculations have been performed to tune the electronic and optical properties of graphene (G) and boron-nitride (BN) quantum dots (QDs) through molecular charge-transfer using Tetracyanoquinodimethane (TCNQ)…

材料科学 · 物理学 2017-09-13 Arkamita Bandyopadhyay , Sharma SRKC Yamijala , Swapan K Pati

Nonlinear effects in protein dynamics are expected to play role in function, particularly of allosteric nature, by facilitating energy transfer between vibrational modes. A recently proposed method focusing on the non-Gaussian shape of the…

生物大分子 · 定量生物学 2022-03-23 B. Kav , M. Ozturk , A. Kabakcioglu

Prediction of protein-ligand (PL) binding affinity remains the key to drug discovery. Popular approaches in recent years involve graph neural networks (GNNs), which are used to learn the topology and geometry of PL complexes. However, GNNs…

机器学习 · 计算机科学 2022-05-17 Dmitrii Gavrilev , Nurlybek Amangeldiuly , Sergei Ivanov , Evgeny Burnaev