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1.
Int J Mol Sci ; 25(7)2024 Apr 03.
Article in English | MEDLINE | ID: mdl-38612799

ABSTRACT

EGFR exon 20 (EGFR Ex20) insertion mutations in non-small cell lung cancer (NSCLC) are insensitive to traditional EGFR tyrosine kinase inhibitors (TKIs). Mobocertinib is the only approved TKI specifically designed to target EGFR Ex20. We performed an international, real-world safety and efficacy analysis on patients with EGFR Ex20-positive NSCLC enrolled in a mobocertinib early access program. We explored the mechanisms of resistance by analyzing postprogression biopsies, as well as cross-resistance to amivantamab. Data from 86 patients with a median age of 67 years and a median of two prior lines of treatment were analyzed. Treatment-related adverse events (TRAEs) occurred in 95% of patients. Grade ≥3 TRAEs were reported in 38% of patients and included diarrhea (22%) and rash (8%). In 17% of patients, therapy was permanently discontinued, and two patients died due to TRAEs. Women were seven times more likely to discontinue treatment than men. In the overall cohort, the objective response rate to mobocertinib was 34% (95% CI, 24-45). The response rate in treatment-naïve patients was 27% (95% CI, 8-58). The median progression-free and overall survival was 5 months (95% CI, 3.5-6.5) and 12 months (95% CI, 6.8-17.2), respectively. The intracranial response rate was limited (13%), and one-third of disease progression cases involved the brain. Mobocertinib also showed antitumor activity following EGFR Ex20-specific therapy and vice versa. Potential mechanisms of resistance to mobocertinib included amplifications in MET, PIK3CA, and NRAS. Mobocertinib demonstrated meaningful efficacy in a real-world setting but was associated with considerable gastrointestinal and cutaneous toxicity.


Subject(s)
Aniline Compounds , Carcinoma, Non-Small-Cell Lung , Indoles , Lung Neoplasms , Pyrimidines , Male , Humans , Female , Aged , Carcinoma, Non-Small-Cell Lung/drug therapy , Carcinoma, Non-Small-Cell Lung/genetics , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , ErbB Receptors/genetics , Exons
2.
Comput Biol Med ; 144: 105290, 2022 05.
Article in English | MEDLINE | ID: mdl-35231801

ABSTRACT

Neuraminidase A from Streptococcus pneumoniae (NanA) is considered a potentially key pathogenicity factor and a promising drug target to treat human infectious diseases. Computational and experimental efforts are increasingly being used to study its structure and function which yet remain poorly understood. In this work, we characterized structural dynamics of NanA's active site and gained novel mechanistic insights into its implications for a ligand binding. We based our study on supercomputer modeling and bioinformatic analysis with a help of crystallographic data and by bringing together previously published experimental data. The most prominent conformational plasticity was observed in the loop 422-437, accompanied by the mobility of adjacent loops 352-360 and 579-587. These structural elements had been undergoing spontaneous fluctuations apparently playing the role of an active site lid: an "open" state allowed substrate access to the active site, while a "closed" state accommodated the substrate in a catalytically favorable orientation. We observed that conformational plasticity of the loop 422-437 promoted the formation of an additional pocket located between catalytic and insertion domains of the enzyme. We recently argued this site was able to bind isoprenylated flavone artocarpin as an inhibitor of pneumococcal biofilm formation. Here we showed that accommodation of the mixed-type inhibitor artocarpin in this pocket limited mobility of the loop 422-437. This represents a plausible explanation of artocarpin's regulatory effect on the enzyme's catalytic function which seems to be independent of its role in preventing biofilm formation.


Subject(s)
Neuraminidase , Streptococcus pneumoniae , Allosteric Regulation , Catalytic Domain , Humans , Neuraminidase/chemistry , Neuraminidase/metabolism , Streptococcus pneumoniae/physiology
3.
Comput Struct Biotechnol J ; 19: 1302-1311, 2021.
Article in English | MEDLINE | ID: mdl-33738079

ABSTRACT

Local 3D-structural differences in homologous proteins contribute to functional diversity observed in a superfamily, but so far received little attention as bioinformatic analysis was usually carried out at the level of amino acid sequences. We have developed Zebra3D - the first-of-its-kind bioinformatic software for systematic analysis of 3D-alignments of protein families using machine learning. The new tool identifies subfamily-specific regions (SSRs) - patterns of local 3D-structure (i.e. single residues, loops, or secondary structure fragments) that are spatially equivalent within families/subfamilies, but are different among them, and thus can be associated with functional diversity and function-related conformational plasticity. Bioinformatic analysis of protein superfamilies by Zebra3D can be used to study 3D-determinants of catalytic activity and specific accommodation of ligands, help to prepare focused libraries for directed evolution or assist development of chimeric enzymes with novel properties by exchange of equivalent regions between homologs, and to characterize plasticity in binding sites. A companion Mustguseal web-server is available to automatically construct a 3D-alignment of functionally diverse proteins, thus reducing the minimal input required to operate Zebra3D to a single PDB code. The Zebra3D + Mustguseal combined approach provides the opportunity to systematically explore the value of SSRs in superfamilies and to use this information for protein design and drug discovery. The software is available open-access at https://biokinet.belozersky.msu.ru/Zebra3D.

4.
Methods Mol Biol ; 2231: 179-200, 2021.
Article in English | MEDLINE | ID: mdl-33289894

ABSTRACT

Bioinformatic analysis of functionally diverse superfamilies can help to study the structure-function relationship in proteins, but represents a methodological challenge. The Mustguseal web-server can build large structure-guided sequence alignments of thousands of homologs that cover all currently available sequence variants within a common structural fold. The input to the method is a PDB code of the query protein, which represents the protein superfamily of interest. The collection and subsequent alignment of protein sequences and structures is fully automated and driven by the particular choice of parameters. Four integrated sister web-methods-the Zebra, pocketZebra, visualCMAT, and Yosshi-are available to further analyze the resulting superimposition and identify conserved, subfamily-specific, and co-evolving residues, as well as to classify and study disulfide bonds in protein superfamilies. The integration of these web-based bioinformatic tools provides an out-of-the-box easy-to-use solution, first of its kind, to study protein function and regulation and design improved enzyme variants for practical applications and selective ligands to modulate their functional properties. In this chapter, we provide a step-by-step protocol for a comprehensive bioinformatic analysis of a protein superfamily using a web-browser as the main tool and notes on selecting the appropriate values for the key algorithm parameters depending on your research objective. The web-servers are freely available to all users at https://biokinet.belozersky.msu.ru/m-platform with no login requirement.


Subject(s)
Computational Biology/methods , Proteins/chemistry , Sequence Alignment/methods , Software , Algorithms , Amino Acid Sequence , Computational Biology/instrumentation , Disulfides/chemistry , Internet , Ligands , Protein Structure, Tertiary , Sequence Alignment/instrumentation
5.
FEBS J ; 288(10): 3217-3230, 2021 05.
Article in English | MEDLINE | ID: mdl-33108702

ABSTRACT

Neuraminidase A from Streptococcus pneumoniae (NanA) is a cell wall-bound modular enzyme containing one lectin and one catalytic domain. Unlike homologous NanB and NanC expressed by the same bacterium, the two domains within one NanA molecule do not form a stable interaction and are spatially separated by a 16-amino acid-long flexible linker. In this work, the ability of NanA to form intermolecular assemblies was characterized using the methods of molecular modeling and bioinformatic analysis based on crystallographic data and by bringing together previously published experimental data. It was concluded that two catalytic domains, as well as one catalytic and one lectin domain, originating from two cell wall-bound NanA molecules, can interact through a previously uncharacterized interdomain interface to form complexes stabilized by a network of intermolecular hydrogen bonds and salt bridges. Supercomputer modeling strongly indicated that artocarpin, an earlier experimentally discovered inhibitor of the pneumococcal biofilm formation, is able to bind to a site located in the catalytic domain of one NanA entity and prevent its interaction with the lectin or catalytic domain of another NanA entity, thus directly precluding the generation of intermolecular assemblies. The revealed structural adaptation is discussed as one plausible mechanism of noncatalytic participation of this potentially key pathogenicity enzyme in pneumococcal biofilm formation.


Subject(s)
Anti-Bacterial Agents/chemistry , Bacterial Proteins/chemistry , Glycosides/chemistry , Mannose-Binding Lectins/chemistry , Neuraminidase/chemistry , Plant Lectins/chemistry , Streptococcus pneumoniae/enzymology , Amino Acid Sequence , Anti-Bacterial Agents/pharmacology , Bacterial Proteins/antagonists & inhibitors , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Biofilms/drug effects , Biofilms/growth & development , Catalytic Domain , Computational Biology/methods , Gene Expression , Glycosides/metabolism , Hydrogen Bonding , Kinetics , Mannose-Binding Lectins/pharmacology , Models, Molecular , Neuraminidase/antagonists & inhibitors , Neuraminidase/genetics , Neuraminidase/metabolism , Plant Lectins/pharmacology , Protein Binding , Protein Conformation, alpha-Helical , Protein Conformation, beta-Strand , Protein Interaction Domains and Motifs , Sequence Alignment , Sequence Homology, Amino Acid , Streptococcus pneumoniae/drug effects , Streptococcus pneumoniae/growth & development , Substrate Specificity , Thermodynamics
6.
J Bioinform Comput Biol ; 18(6): 2040011, 2020 12.
Article in English | MEDLINE | ID: mdl-32833550

ABSTRACT

Conformational plasticity of the functionally important regions and binding sites in protein/enzyme structures is one of the key factors affecting their function and interaction with substrates/ligands. Molecular dynamics (MD) can address the challenge of accounting for protein flexibility by predicting the time-dependent behavior of a molecular system. It has a potential of becoming a particularly important tool in protein engineering and drug discovery, but requires specialized training and skills, what impedes practical use by many investigators. We have developed the easyAmber - a comprehensive set of programs to automate the molecular dynamics routines implemented in the Amber package. The toolbox can address a wide set of tasks in computational biology struggling to account for protein flexibility. The automated workflow includes a complete set of steps from the initial "static" molecular model to the MD "production run": the full-atom model building, optimization/equilibration of the molecular system, classical/conventional and accelerated molecular dynamics simulations. The easyAmber implements advanced MD protocols, but is highly automated and easy-to-operate to attract a broad audience. The toolbox can be used on a personal desktop station equipped with a compatible gaming GPU-accelerator, as well as help to manage huge workloads on a powerful supercomputer. The software provides an opportunity to operate multiple simulations of different proteins at the same time, thus significantly increasing work efficiency. The easyAmber takes the molecular dynamics to the next level in terms of usability for complex processing of large volumes of data, thus supporting the recent trend away from inefficient "static" approaches in biology toward a deeper understanding of the dynamics in protein structures. The software is freely available for download at https://biokinet.belozersky.msu.ru/easyAmber, no login required.


Subject(s)
Molecular Dynamics Simulation/statistics & numerical data , Protein Conformation , Proteins/chemistry , Software , Algorithms , Binding Sites , Computational Biology , Drug Discovery , Ligands , Protein Engineering
7.
Nucleic Acids Res ; 48(W1): W65-W71, 2020 07 02.
Article in English | MEDLINE | ID: mdl-32313959

ABSTRACT

Zebra2 is a highly automated web-tool to search for subfamily-specific and conserved positions (i.e. the determinants of functional diversity as well as the key catalytic and structural residues) in protein superfamilies. The bioinformatic analysis is facilitated by Mustguseal-a companion web-server to automatically collect and superimpose a large representative set of functionally diverse homologs with high structure similarity but low sequence identity to the selected query protein. The results are automatically prioritized and provided at four information levels to facilitate the knowledge-driven expert selection of the most promising positions on-line: as a sequence similarity network; interfaces to sequence-based and 3D-structure-based analysis of conservation and variability; and accompanied by the detailed annotation of proteins accumulated from the integrated databases with links to the external resources. The integration of Zebra2 and Mustguseal web-tools provides the first of its kind out-of-the-box open-access solution to conduct a systematic analysis of evolutionarily related proteins implementing different functions within a shared 3D-structure of the superfamily, determine common and specific patterns of function-associated local structural elements, assist to select hot-spots for rational design and to prepare focused libraries for directed evolution. The web-servers are free and open to all users at https://biokinet.belozersky.msu.ru/zebra2, no login required.


Subject(s)
Sequence Alignment , Sequence Analysis, Protein/methods , Software , Algorithms , Amino Acid Sequence , Computational Biology/methods , Conserved Sequence , Internet , Protein Conformation , Proteins/chemistry , Proteins/classification , Sequence Homology, Amino Acid
8.
Nucleic Acids Res ; 47(W1): W308-W314, 2019 07 02.
Article in English | MEDLINE | ID: mdl-31106356

ABSTRACT

Disulfide bonds play a significant role in protein stability, function or regulation but are poorly conserved among evolutionarily related proteins. The Yosshi can help to understand the role of S-S bonds by comparing sequences and structures of homologs with diverse properties and different disulfide connectivity patterns within a common structural fold of a superfamily, and assist to select the most promising hot-spots to improve stability of proteins/enzymes or modulate their functions by introducing naturally occurring crosslinks. The bioinformatic analysis is supported by the integrated Mustguseal web-server to construct large structure-guided sequence alignments of functionally diverse protein families that can include thousands of proteins based on all available information in public databases. The Yosshi+Mustguseal is a new integrated web-tool for a systematic homology-driven analysis and engineering of S-S bonds that facilitates a broader interpretation of disulfides not just as a factor of structural stability, but rather as a mechanism to implement functional diversity within a superfamily. The results can be downloaded as a content-rich PyMol session file or further studied online using the HTML5-based interactive analysis tools. Both web-servers are free and open to all users at https://biokinet.belozersky.msu.ru/yosshi and there is no login requirement.


Subject(s)
Algorithms , Computational Biology/methods , Disulfides/chemistry , Proteins/chemistry , Software , Amino Acid Sequence , Internet , Models, Molecular , Protein Engineering , Sequence Alignment
9.
J Biomol Struct Dyn ; 37(8): 2049-2060, 2019 May.
Article in English | MEDLINE | ID: mdl-29749295

ABSTRACT

Doramapimod (BIRB-796) is widely recognized as one of the most potent and selective type II inhibitors of human p38α mitogen-activated protein kinase (MAPK); however, the understanding of its binding mechanism remains incomplete. Previous studies indicated high affinity of the ligand to a so-called allosteric pocket revealed only in the 'out' state of the DFG motif (i.e. Asp168-Phe169-Gly170) when Phe169 becomes fully exposed to the solvent. The possibility of alternative binding in the DFG-in state was hypothesized, but the molecular mechanism was not known. Methods of bioinformatics, docking and long-time scale classical and accelerated molecular dynamics have been applied to study the interaction of Doramapimod with the human p38α MAPK. It was shown that Doramapimod can bind to the protein even when the Phe169 is fully buried inside the allosteric pocket and the kinase activation loop is in the DFG-in state. Orientation of the inhibitor in such a complex is significantly different from that in the known crystallographic complex formed by the kinase in the DFG-out state; however, the Doramapimod's binding is followed by the ligand-induced conformational changes, which finally improve accommodation of the inhibitor. Molecular modelling has confirmed that Doramapimod combines the features of type I and II inhibitors of p38α MAPK, i.e. can directly and indirectly compete with the ATP binding. It can be concluded that optimization of the initial binding in the DFG-in state and the final accommodation in the DFG-out state should be both considered at designing novel efficient type II inhibitors of MAPK and homologous proteins. Communicated by Ramaswamy H. Sarma.


Subject(s)
Amino Acids/chemistry , Mitogen-Activated Protein Kinase 14/chemistry , Mitogen-Activated Protein Kinase 14/metabolism , Naphthalenes/pharmacology , Protein Kinase Inhibitors/pharmacology , Pyrazoles/pharmacology , Allosteric Regulation/drug effects , Humans , Mitogen-Activated Protein Kinase 14/antagonists & inhibitors , Molecular Dynamics Simulation
10.
FEBS J ; 285(13): 2428-2445, 2018 07.
Article in English | MEDLINE | ID: mdl-29704878

ABSTRACT

Neuraminidase A (NanA) of the pathogen Streptococcus pneumoniae cleaves receptors of the human respiratory epithelial surface during bacterial colonization. The full-size structure of NanA that contains one lectin and one catalytic domain within a single polypeptide chain remains unresolved. Both domains are crucial for the microorganism's virulence and considered as promising antimicrobial targets. Methods of bioinformatics and molecular dynamics have been implemented to model NanA's structure and study interaction between the lectin and catalytic domains in three neuraminidases NanA, NanB, and NanC from Streptococcus pneumoniae. A significant difference in spatial organization of these homologous enzymes has been revealed. The lectin and catalytic domains of NanB and NanC form rigid globules stabilized by multiple interdomain interactions, whereas in NanA, the two domains are separated by a 16 amino acids long flexible linker - a characteristic of proteins that require conformational flexibility for their functioning. The biological role of this structural adaptation of NanA as a key virulence enzyme is discussed.


Subject(s)
Bacterial Proteins/metabolism , Lectins/metabolism , Neuraminidase/metabolism , Streptococcus pneumoniae/enzymology , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Biocatalysis , Catalytic Domain , Humans , Isoenzymes/chemistry , Isoenzymes/genetics , Isoenzymes/metabolism , Lectins/chemistry , Lectins/genetics , Molecular Dynamics Simulation , Neuraminidase/chemistry , Neuraminidase/genetics , Pneumonia, Pneumococcal/microbiology , Protein Binding , Streptococcus pneumoniae/genetics , Streptococcus pneumoniae/pathogenicity , Virulence/genetics
11.
J Bioinform Comput Biol ; 16(2): 1840005, 2018 04.
Article in English | MEDLINE | ID: mdl-29361894

ABSTRACT

The visualCMAT web-server was designed to assist experimental research in the fields of protein/enzyme biochemistry, protein engineering, and drug discovery by providing an intuitive and easy-to-use interface to the analysis of correlated mutations/co-evolving residues. Sequence and structural information describing homologous proteins are used to predict correlated substitutions by the Mutual information-based CMAT approach, classify them into spatially close co-evolving pairs, which either form a direct physical contact or interact with the same ligand (e.g. a substrate or a crystallographic water molecule), and long-range correlations, annotate and rank binding sites on the protein surface by the presence of statistically significant co-evolving positions. The results of the visualCMAT are organized for a convenient visual analysis and can be downloaded to a local computer as a content-rich all-in-one PyMol session file with multiple layers of annotation corresponding to bioinformatic, statistical and structural analyses of the predicted co-evolution, or further studied online using the built-in interactive analysis tools. The online interactivity is implemented in HTML5 and therefore neither plugins nor Java are required. The visualCMAT web-server is integrated with the Mustguseal web-server capable of constructing large structure-guided sequence alignments of protein families and superfamilies using all available information about their structures and sequences in public databases. The visualCMAT web-server can be used to understand the relationship between structure and function in proteins, implemented at selecting hotspots and compensatory mutations for rational design and directed evolution experiments to produce novel enzymes with improved properties, and employed at studying the mechanism of selective ligand's binding and allosteric communication between topologically independent sites in protein structures. The web-server is freely available at https://biokinet.belozersky.msu.ru/visualcmat and there are no login requirements.


Subject(s)
Computational Biology/methods , Internet , Mutation , Proteins/genetics , Software , Algorithms , Binding Sites , Escherichia coli Proteins/chemistry , Escherichia coli Proteins/genetics , Escherichia coli Proteins/metabolism , Evolution, Molecular , Models, Molecular , Protein Conformation , Proteins/chemistry , Proteins/metabolism , Receptors, Cell Surface/chemistry , Receptors, Cell Surface/genetics , Receptors, Cell Surface/metabolism , Sequence Alignment , User-Computer Interface
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