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期刊名称:Trends in Biochemical Sciences
期刊ISSN:0968-0004
期刊官方网站:http://www.cell.com/trends/biochemical-sciences/home
出版商:Elsevier Ltd
出版周期:Monthly
影响因子:14.264
始发年份:1976
年文章数:68
是否OA:否
Revisiting focused ion beam scanning electron microcopy
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-03-27 , DOI: 10.1016/j.tibs.2023.02.005
Abstract not available
Molecular regulation of the salicylic acid hormone pathway in plants under changing environmental conditions
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-05-29 , DOI: 10.1016/j.tibs.2023.05.004
Salicylic acid (SA) is a central plant hormone mediating immunity, growth, and development. Recently, studies have highlighted the sensitivity of the SA pathway to changing climatic factors and the plant microbiome. Here we summarize organizing principles and themes in the regulation of SA biosynthesis, signaling, and metabolism by changing abiotic/biotic environments, focusing on molecular nodes governing SA pathway vulnerability or resilience. We especially highlight advances in the thermosensitive mechanisms underpinning SA-mediated immunity, including differential regulation of key transcription factors (e.g., CAMTAs, CBP60g, SARD1, bHLH059), selective protein–protein interactions of the SA receptor NPR1, and dynamic phase separation of the recently identified GBPL3 biomolecular condensates. Together, these nodes form a biochemical paradigm for how the external environment impinges on the SA pathway.
Recent advances in predicting and modeling protein–protein interactions
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-04-14 , DOI: 10.1016/j.tibs.2023.03.003
Protein–protein interactions (PPIs) drive biological processes, and disruption of PPIs can cause disease. With recent breakthroughs in structure prediction and a deluge of genomic sequence data, computational methods to predict PPIs and model spatial structures of protein complexes are now approaching the accuracy of experimental approaches for permanent interactions and show promise for elucidating transient interactions. As we describe here, the key to this success is rich evolutionary information deciphered from thousands of homologous sequences that coevolve in interacting partners. This covariation signal, revealed by sophisticated statistical and machine learning (ML) algorithms, predicts physiological interactions. Accurate artificial intelligence (AI)-based modeling of protein structures promises to provide accurate 3D models of PPIs at a proteome-wide scale.
Ensembles of synthetic polymers mimic biological fluids
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-06-19 , DOI: 10.1016/j.tibs.2023.05.012
Recently a report by Ruan et al. in Nature described how relatively simple random heteropolymers can replicate the properties of biological fluids. These polymers capture the segmental-level interactions between proteins and could enhance folding of membrane proteins, improve stability, and enable DNA sequestration in a chemistry specific manner.
Fragment-based drug discovery supports drugging ‘undruggable’ protein–protein interactions
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-02-24 , DOI: 10.1016/j.tibs.2023.01.008
Protein–protein interactions (PPIs) have important roles in various cellular processes, but are commonly described as ‘undruggable’ therapeutic targets due to their large, flat, featureless interfaces. Fragment-based drug discovery (FBDD) has achieved great success in modulating PPIs, with more than ten compounds in clinical trials. Here, we highlight the progress of FBDD in modulating PPIs for therapeutic development. Targeting hot spots that have essential roles in both fragment binding and PPIs provides a shortcut for the development of PPI modulators via FBDD. We highlight successful cases of cracking the ‘undruggable’ problems of PPIs using fragment-based approaches. We also introduce new technologies and future trends. Thus, we hope that this review will provide useful guidance for drug discovery targeting PPIs.
Developing protein structure figures
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-02-16 , DOI: 10.1016/j.tibs.2022.09.002
Abstract not available
Substrate and phosphorylation site selection by phosphoprotein phosphatases
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-05-10 , DOI: 10.1016/j.tibs.2023.04.004
Dynamic protein phosphorylation and dephosphorylation are essential regulatory mechanisms that ensure proper cellular signaling and biological functions. Deregulation of either reaction has been implicated in several human diseases. Here, we focus on the mechanisms that govern the specificity of the dephosphorylation reaction. Most cellular serine/threonine dephosphorylation is catalyzed by 13 highly conserved phosphoprotein phosphatase (PPP) catalytic subunits, which form hundreds of holoenzymes by binding to regulatory and scaffolding subunits. PPP holoenzymes recognize phosphorylation site consensus motifs and interact with short linear motifs (SLiMs) or structural elements distal to the phosphorylation site. We review recent advances in understanding the mechanisms of PPP site-specific dephosphorylation preference and substrate recruitment and highlight examples of their interplay in the regulation of cell division.
Metamorphic protein folding as evolutionary adaptation
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-06-01 , DOI: 10.1016/j.tibs.2023.05.001
Metamorphic proteins switch reversibly between multiple distinct, stable structures, often with different functions. It was previously hypothesized that metamorphic proteins arose as intermediates in the evolution of a new fold – rare and transient exceptions to the ‘one sequence, one fold’ paradigm. However, as described herein, mounting evidence suggests that metamorphic folding is an adaptive feature, preserved and optimized over evolutionary time as exemplified by the NusG family and the chemokine XCL1. Analysis of extant protein families and resurrected protein ancestors demonstrates that large regions of sequence space are compatible with metamorphic folding. As a category that enhances biological fitness, metamorphic proteins are likely to employ fold switching to perform important biological functions and may be more common than previously thought.
Advisory Board and Contents
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-05-11 , DOI: 10.1016/s0968-0004(23)00091-9
Abstract not available
A chemical biology/modular antibody platform for ADP-ribosylation signaling
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-06-30 , DOI: 10.1016/j.tibs.2023.06.005
Abstract not available
Recruiting women faculty through inclusive, family-friendly practices
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-02-06 , DOI: 10.1016/j.tibs.2023.01.003
Recruitment of STEM faculty is biased against parents and caregivers. Specifically, women experience discrimination associated with childrearing and marriage. Underestimating the value of these candidates leads to a tremendous loss of talent. Here, we present a toolkit to facilitate the recruitment of talented women caregivers by providing guidelines for hiring.
Presenting technological workflows
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-06-08 , DOI: 10.1016/j.tibs.2023.04.001
Abstract not available
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Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-07-13 , DOI: 10.1016/s0968-0004(23)00152-4
Abstract not available
Protein Termini 2022: central roles of protein ends
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-03-29 , DOI: 10.1016/j.tibs.2023.02.008
Although locating at the protein ends, N- and C-termini are at the center of numerous cellular functions. This topic engages an increasing number of scientists, recently forming the International Society of Protein Termini (ISPT). Protein Termini 2022 gathered this interdisciplinary community to discuss how protein ends may steer protein functionality.
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Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-03-16 , DOI: 10.1016/s0968-0004(23)00042-7
Abstract not available
Phase separation enhances probability of receptor signalling and drug targeting
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-02-07 , DOI: 10.1016/j.tibs.2023.01.005
The probability of a given receptor tyrosine kinase (RTK) triggering a defined cellular outcome is low because of the promiscuous nature of signalling, the randomness of molecular diffusion through the cell, and the ongoing nonfunctional submembrane signalling activity or noise. Signal transduction is therefore a ‘numbers game’, where enough cell surface receptors and effector proteins must initially be engaged to guarantee formation of a functional signalling complex against a background of redundant events. The presence of intracellular liquid–liquid phase separation (LLPS) at the plasma membrane provides a mechanism through which the probabilistic nature of signalling can be weighted in favour of the required, discrete cellular outcome and mutual exclusivity in signal initiation.
Non-histone binding functions of PHD fingers
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-04-14 , DOI: 10.1016/j.tibs.2023.03.005
Plant homeodomain (PHD) fingers comprise a large and well-established family of epigenetic readers that recognize histone H3. A typical PHD finger binds to the unmodified or methylated amino-terminal tail of H3. This interaction is highly specific and can be regulated by post-translational modifications (PTMs) in H3 and other domains present in the protein. However, a set of PHD fingers has recently been shown to bind non-histone proteins, H3 mimetics, and DNA. In this review, we highlight the molecular mechanisms by which PHD fingers interact with ligands other than the amino terminus of H3 and discuss similarities and differences in engagement with histone and non-histone binding partners.
Insights into 4-hydroxyphenylpyruvate dioxygenase-inhibitor interactions from comparative structural biology
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-03-21 , DOI: 10.1016/j.tibs.2023.02.006
4-Hydroxyphenylpyruvate dioxygenase (HPPD) plays a key role in tyrosine metabolism and has been identified as a promising target for herbicide and drug discovery. The structures of HPPD complexed with different types of inhibitors have been determined previously. We summarize the structures of HPPD complexed with structurally diverse molecules, including inhibitors, natural products, substrates, and catalytic intermediates; from these structures, the detailed inhibitory mechanisms of different inhibitors were analyzed and compared, and the key structural factors determining the slow-binding behavior of inhibitors were identified. Further, we propose four subpockets that accommodate different inhibitor substructures. We believe that these analyses will facilitate in-depth understanding of the enzymatic reaction mechanism and enable the design of new inhibitors with higher potency and selectivity.
Capturing 3D macromolecule structure in 2D images
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-02-16 , DOI: 10.1016/j.tibs.2023.01.002
Abstract not available
Plant-based carboxysomes: another step toward increased crop yields
Trends in Biochemical Sciences ( IF 14.264 ) Pub Date : 2023-07-22 , DOI: 10.1016/j.tibs.2023.07.003
Synthetically reconstructed carboxysomes form the basis of CO2-concentrating mechanisms (CCMs) that could enhance the photosynthetic efficiency of crops and improve yield. Recently, Chen et al. revealed another step toward the reconstruction of bacterial carboxysomes in plants, reporting the formation of almost-complete carboxysomes in the chloroplast of Nicotiana tabacum.
中科院SCI期刊分区
大类学科小类学科TOP综述
生物1区BIOCHEMISTRY & MOLECULAR BIOLOGY 生化与分子生物学1区
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自引率H-indexSCI收录状况PubMed Central (PML)
0.50241Science Citation Index Science Citation Index Expanded
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