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  1. Book: Xue ye xi tong yi nan bing li jing xi ji zhen duan si lu

    Li, Juan

    2014  

    Author's details Li Juan, Xiao Yang, Liu Junru zhu bian
    MeSH term(s) Hematologic Diseases/diagnosis ; Rare Diseases/diagnosis
    Language Chinese
    Size 2, 5, 574 pages :, illustrations, portraits
    Edition Di 1 ban.
    Document type Book
    ISBN 9787535963369 ; 7535963366
    Database Catalogue of the US National Library of Medicine (NLM)

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  2. Article: Computational analysis of interior mutations of SARS-CoV-2 Spike protein suggest a balance of protein stability and S2: S1 separation propensity.

    Li, Zhen-Lu / Buck, Matthias

    Computational and structural biotechnology journal

    2022  Volume 20, Page(s) 6078–6086

    Abstract: SARS-CoV-2 variants often include surface mutations in the Spike protein that are important for viruses to recognize host receptors and evade antibody neutralization. The Spike protein also has mutations in the interior of the protein likely to affect ... ...

    Abstract SARS-CoV-2 variants often include surface mutations in the Spike protein that are important for viruses to recognize host receptors and evade antibody neutralization. The Spike protein also has mutations in the interior of the protein likely to affect the Spike protein S1 - S2 subunit's separation propensity, the most important of which is the D614G mutation. Remarkably, the Omicron variant contains a large number of internal mutations at the S2: S1 interface, which have not been investigated yet. In this study, we examined the effects of such interfacial mutations on the S2: S1 and subunit domain interactions and on the subunit's dissociation process. We found that the interaction with S2 is mainly contributed by the three encapsulation domains, named INT, ED1 and ED2 of S1, which are sandwiched between the S1 RBD and
    Language English
    Publishing date 2022-11-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2022.10.044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A proteome-scale analysis of vertebrate protein amino acid occurrence: Thermoadaptation shows a correlation with protein solvation but less so with dynamics.

    Li, Zhen-Lu / Buck, Matthias

    Proteins

    2022  Volume 91, Issue 1, Page(s) 3–15

    Abstract: Despite differences in behaviors and living conditions, vertebrate organisms share the great majority of proteins, often with subtle differences in amino acid sequence. Here, we present a simple way to analyze the difference in amino acid occurrence by ... ...

    Abstract Despite differences in behaviors and living conditions, vertebrate organisms share the great majority of proteins, often with subtle differences in amino acid sequence. Here, we present a simple way to analyze the difference in amino acid occurrence by comparing highly homologous proteins on a subproteome level between several vertebrate model organisms. Specifically, we use this method to identify a pattern of amino acid conservation as well as a shift in amino acid occurrence between homeotherms (warm-blooded species) and poikilotherms (cold-blooded species). Importantly, this general analysis and a specific example further establish a broad correlation, if not likely connection between the thermal adaptation of protein sequences and two of their physical features: on average a change in their protein dynamics and, even more strongly, in their solvation. For poikilotherms, such as frog and fish, the lower body temperature is expected to increase the protein-protein interaction due to a decrease in protein internal dynamics. In order to counteract the tendency for enhanced binding caused by low temperatures, poikilotherms enhance the solvation of their proteins by favoring polar amino acids. This feature appears to dominate over possible changes in dynamics for some proteins. The results suggest that a general trend for amino acid choice is part of the mechanism for thermoadaptation of vertebrate organisms at the molecular level.
    MeSH term(s) Animals ; Proteome/metabolism ; Vertebrates/metabolism ; Amino Acid Sequence ; Cold Temperature ; Amino Acids/metabolism
    Chemical Substances Proteome ; Amino Acids
    Language English
    Publishing date 2022-08-20
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 806683-8
    ISSN 1097-0134 ; 0887-3585
    ISSN (online) 1097-0134
    ISSN 0887-3585
    DOI 10.1002/prot.26404
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Neuropilin-1 Assists SARS-CoV-2 Infection by Stimulating the Separation of Spike Protein Domains S1 and S2.

    Li, Zhen-Lu / Buck, Matthias

    bioRxiv : the preprint server for biology

    2021  

    Abstract: The cell surface receptor Neuropilin-1 (Nrp1) was recently identified as a host factor for SARS-CoV-2 entry. As the Spike protein of SARS-CoV-2 is cleaved into the S1 and the S2 domain by furin protease, Nrp1 binds to the newly created C-terminal RRAR ... ...

    Abstract The cell surface receptor Neuropilin-1 (Nrp1) was recently identified as a host factor for SARS-CoV-2 entry. As the Spike protein of SARS-CoV-2 is cleaved into the S1 and the S2 domain by furin protease, Nrp1 binds to the newly created C-terminal RRAR amino acid sequence of the S1 domain. In this study, we model the association of a Nrp1 (a2-b1-b2) protein with the Spike protein computationally and analyze the topological constraints in the SARS-CoV-2 Spike protein for binding with Nrp1 and ACE2. Importantly, we study the exit mechanism of S2 from the S1 domain with the assistance of ACE2 as well as Nrp1 by molecular dynamics pulling simulations. In the presence of Nrp1, by binding the S1 more strongly to the host membrane, there is a high probability of S2 being pulled out, rather than S1 being stretched. Thus, Nrp1 binding could stimulate the exit of S2 from the S1 domain, which will likely increase virus infectivity as the liberated S2 domain mediates the fusion of virus and host membranes. Understanding of such a Nrp1-assisted viral infection opens the gate for the generation of protein-protein inhibitors, such as antibodies, which could attenuate the infection mechanism and protect certain cells in a future combination therapy.
    Language English
    Publishing date 2021-01-19
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2021.01.06.425627
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Neuropilin-1 assists SARS-CoV-2 infection by stimulating the separation of Spike protein S1 and S2.

    Li, Zhen-Lu / Buck, Matthias

    Biophysical journal

    2021  Volume 120, Issue 14, Page(s) 2828–2837

    Abstract: The cell surface receptor Neuropilin-1 (Nrp1) was recently identified as a host factor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry. The Spike protein of SARS-CoV-2 is cleaved into two segments, the S1 (residues (res.) 1-685) ... ...

    Abstract The cell surface receptor Neuropilin-1 (Nrp1) was recently identified as a host factor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry. The Spike protein of SARS-CoV-2 is cleaved into two segments, the S1 (residues (res.) 1-685) and the S2 (res. 686-1273) domains by furin protease. Nrp1 predominantly binds to the C-terminal RRAR amino acid motif (res. 682-685) of the S1 domain. In this study, we firstly modeled the association of an Nrp1 protein (consisting of domains a2-b1-b2) with the Spike protein. Next, we studied the separation of S2 from the S1 domain, with and without Nrp1 bound, by utilizing molecular dynamics pulling simulations. During the separation, Nrp1 stabilizes the S1 C-terminal region (res. 640-685) and thereby assists the detachment of S2 N-terminal region (res. 686-700). Without Nrp1 bound, S1 tends to become stretched, whereas the bound Nrp1 stimulates an earlier separation of S2 from the S1 domain. The liberated S2 domain is known to mediate the fusion of virus and host membranes; thus, Nrp1 likely increases virus infectivity by facilitating the S1 and S2 separation. We further analyzed the possible topological structure of the SARS-CoV-2 Spike protein when bound with Nrp1 and angiotensin-converting enzyme 2 (ACE2). Understanding of such an Nrp1-assisted viral infection opens the gate for the generation of protein-protein inhibitors, such as antibodies, which could attenuate the infection mechanism and protect certain cells in a future Nrp1-ACE2 targeted combination therapy.
    Language English
    Publishing date 2021-06-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 218078-9
    ISSN 1542-0086 ; 0006-3495
    ISSN (online) 1542-0086
    ISSN 0006-3495
    DOI 10.1016/j.bpj.2021.05.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Beyond history and "on a roll": The list of the most well-studied human protein structures and overall trends in the protein data bank.

    Li, Zhen-Lu / Buck, Matthias

    Protein science : a publication of the Protein Society

    2021  Volume 30, Issue 4, Page(s) 745–760

    Abstract: Of the roughly 20,000 canonical human protein sequences, as of January 20, 2021, 7,077 proteins have had their full or partial, medium- to high-resolution structures determined by x-ray crystallography or other methods. Which of these proteins dominate ... ...

    Abstract Of the roughly 20,000 canonical human protein sequences, as of January 20, 2021, 7,077 proteins have had their full or partial, medium- to high-resolution structures determined by x-ray crystallography or other methods. Which of these proteins dominate the protein data bank (the PDB) and why? In this paper, we list the 273 top human protein structures based on the number of their PDB entries. This set of proteins accounts for more than 40% of all available human PDB entries and represent past trends as well as current status for protein structural biology. We briefly discuss the relationship which some of the prominent protein structures have with protein research as a whole and mention their relevance to human diseases. The top-10 soluble and membrane proteins are all well-known (most of their first structures being deposited more than 30 years ago). Overall, there is no dramatic change in recent trends in the PDB. Remarkably, the number of structure depositions has grown nearly exponentially over the last 10 or more years (with a doubling time of 7 years for proteins, obtained from any organism). Growth in human protein structures is slightly faster (at 5.9 years). The information in this paper may be informative to senior scientists but also inspire researchers who are new to protein science, providing the year 2021 snap-shot for the state of protein structural biology.
    MeSH term(s) Algorithms ; Computational Biology ; Crystallography, X-Ray ; Databases, Protein ; Humans ; Membrane Proteins/chemistry ; Membrane Proteins/genetics ; Models, Molecular ; Protein Conformation
    Chemical Substances Membrane Proteins
    Language English
    Publishing date 2021-03-04
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 1106283-6
    ISSN 1469-896X ; 0961-8368
    ISSN (online) 1469-896X
    ISSN 0961-8368
    DOI 10.1002/pro.4038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The impact of conversion during minimally invasive pancreatoduodenectomy: A meta-analysis.

    Li, Zhen-Lu / Li, Mao / Xiong, Jun-Jie / Lu, Hui-Min

    Asian journal of surgery

    2022  Volume 46, Issue 3, Page(s) 1539–1540

    MeSH term(s) Humans ; Pancreaticoduodenectomy ; Postoperative Complications/epidemiology ; Postoperative Complications/etiology ; Postoperative Complications/prevention & control ; Pancreatic Neoplasms/surgery ; Laparoscopy ; Minimally Invasive Surgical Procedures ; Robotic Surgical Procedures
    Language English
    Publishing date 2022-10-14
    Publishing country China
    Document type Meta-Analysis ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.09.074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Computational studies of the principle of dynamic-change-driven protein interactions.

    Li, Zhen-Lu / Mattos, Carla / Buck, Matthias

    Structure (London, England : 1993)

    2022  Volume 30, Issue 6, Page(s) 909–916.e2

    Abstract: Dynamic allostery emphasizes a role of entropy change manifested as a sole change in protein fluctuations without structural changes. This kind of entropy-driven effect remains largely understudied. The most significant examples involve protein-ligand ... ...

    Abstract Dynamic allostery emphasizes a role of entropy change manifested as a sole change in protein fluctuations without structural changes. This kind of entropy-driven effect remains largely understudied. The most significant examples involve protein-ligand interactions, leaving protein-protein interactions, which are critical in signaling and other cellular events, largely unexplored. Here we study an example of how protein-protein interaction (binding of Ras to the Ras binding domain [RBD] of the effector protein Raf) affects a subsequent protein association process (Ras dimerization) by quenching Ras internal motions through dynamic allostery. We also investigate the influence of point mutations or ambient temperature, respectively, on the protein dynamics and interaction of two other systems: in adenylate kinase (ADK) and in the EphA2 SAM:Ship2 SAM complex. Based on these examples, we postulate that there are different ways in which dynamic-change-driven protein interactions are manifested and that it is likely a general biological phenomenon.
    MeSH term(s) Dimerization ; Ligands ; Protein Binding ; Proteins
    Chemical Substances Ligands ; Proteins
    Language English
    Publishing date 2022-04-04
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ZDB-ID 1213087-4
    ISSN 1878-4186 ; 0969-2126
    ISSN (online) 1878-4186
    ISSN 0969-2126
    DOI 10.1016/j.str.2022.03.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Modified Potential Functions Result in Enhanced Predictions of a Protein Complex by All-Atom Molecular Dynamics Simulations, Confirming a Stepwise Association Process for Native Protein-Protein Interactions.

    Li, Zhen-Lu / Buck, Matthias

    Journal of chemical theory and computation

    2019  Volume 15, Issue 8, Page(s) 4318–4331

    Abstract: The relative prevalence of native protein-protein interactions (PPIs) are the cornerstone for understanding the structure, dynamics and mechanisms of function of protein complexes. In this study, we develop a scheme for scaling the protein-water ... ...

    Abstract The relative prevalence of native protein-protein interactions (PPIs) are the cornerstone for understanding the structure, dynamics and mechanisms of function of protein complexes. In this study, we develop a scheme for scaling the protein-water interaction in the CHARMM36 force field, in order to better fit the solvation free energy of amino acids side-chain analogues. We find that the molecular dynamics simulation with the scaled force field, CHARMM36s, as well as a recently released version, CHARMM36m, effectively improve on the overly sticky association of proteins, such as ubiquitin. We investigate the formation of a heterodimer protein complex between the SAM domains of the EphA2 receptor and the SHIP2 enzyme by performing a combined total of 48 μs simulations with the different potential functions. While the native SAM heterodimer is only predicted at a low rate of 6.7% with the original CHARMM36 force field, the yield is increased to 16.7% with CHARMM36s, and to 18.3% with CHARMM36m. By analyzing the 25 native SAM complexes formed in the simulations, we find that their formation involves a preorientation guided by Coulomb interactions, consistent with an electrostatic steering mechanism. In 12 cases, the complex could directly transform to the native protein interaction surfaces with only small adjustments in domain orientation. In the other 13 cases, orientational and/or translational adjustments are needed to reach the native complex. Although the tendency for non-native complexes to dissociate has nearly doubled with the modified potential functions, a dissociation followed by a reassociation to the correct complex structure is still rare. Instead, the remaining non-native complexes undergo configurational changes/surface searching, which, however, rarely leads to native structures on a time scale of 250 ns. These observations provide a rich picture of the mechanisms of protein-protein complex formation and suggest that computational predictions of native complex PPIs could be improved further.
    MeSH term(s) Humans ; Molecular Dynamics Simulation ; Phosphatidylinositol-3,4,5-Trisphosphate 5-Phosphatases/chemistry ; Phosphatidylinositol-3,4,5-Trisphosphate 5-Phosphatases/metabolism ; Protein Binding ; Protein Conformation ; Protein Interaction Maps ; Protein Multimerization ; Proteins/chemistry ; Proteins/metabolism ; Receptor, EphA2/chemistry ; Receptor, EphA2/metabolism ; Static Electricity ; Thermodynamics ; Ubiquitin/chemistry ; Ubiquitin/metabolism ; Water/metabolism
    Chemical Substances Proteins ; Ubiquitin ; Water (059QF0KO0R) ; Receptor, EphA2 (EC 2.7.10.1) ; INPPL1 protein, human (EC 3.1.3.86) ; Phosphatidylinositol-3,4,5-Trisphosphate 5-Phosphatases (EC 3.1.3.86)
    Language English
    Publishing date 2019-07-23
    Publishing country United States
    Document type Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/acs.jctc.9b00195
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The AP2/ERF transcription factor MdDREB2A regulates nitrogen utilisation and sucrose transport under drought stress.

    Zhang, Ting-Ting / Lin, Yu-Jing / Liu, Hao-Feng / Liu, Ya-Qi / Zeng, Zhi-Feng / Lu, Xiao-Yan / Li, Xue-Wei / Zhang, Zhen-Lu / Zhang, Shuai / You, Chun-Xiang / Guan, Qing-Mei / Lang, Zhao-Bo / Wang, Xiao-Fei

    Plant, cell & environment

    2024  Volume 47, Issue 5, Page(s) 1668–1684

    Abstract: Drought stress is one of the main environmental factors limiting plant growth and development. Plants adapt to changing soil moisture by modifying root architecture, inducing stomatal closure, and inhibiting shoot growth. The AP2/ERF transcription factor ...

    Abstract Drought stress is one of the main environmental factors limiting plant growth and development. Plants adapt to changing soil moisture by modifying root architecture, inducing stomatal closure, and inhibiting shoot growth. The AP2/ERF transcription factor DREB2A plays a key role in maintaining plant growth in response to drought stress, but the molecular mechanism underlying this process remains to be elucidated. Here, it was found that overexpression of MdDREB2A positively regulated nitrogen utilisation by interacting with DRE cis-elements of the MdNIR1 promoter. Meanwhile, MdDREB2A could also directly bind to the promoter of MdSWEET12, which may enhance root development and nitrogen assimilation, ultimately promoting plant growth. Overall, this regulatory mechanism provides an idea for plants in coordinating with drought tolerance and nitrogen assimilation to maintain optimal plant growth and development under drought stress.
    MeSH term(s) Plant Proteins/genetics ; Plant Proteins/metabolism ; Droughts ; Plants, Genetically Modified/metabolism ; Promoter Regions, Genetic ; Sucrose/metabolism ; Gene Expression Regulation, Plant ; Stress, Physiological/genetics
    Chemical Substances Plant Proteins ; Sucrose (57-50-1)
    Language English
    Publishing date 2024-01-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 391893-2
    ISSN 1365-3040 ; 0140-7791
    ISSN (online) 1365-3040
    ISSN 0140-7791
    DOI 10.1111/pce.14834
    Database MEDical Literature Analysis and Retrieval System OnLINE

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