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Mróz J, Pelc M, Mitusińska K, Chorostowska-Wynimko J, Jezela-Stanek A. Computational Tools to Assist in Analyzing Effects of the SERPINA1 Gene Variation on Alpha-1 Antitrypsin (AAT). Genes (Basel) 2024; 15:340. [PMID: 38540399 PMCID: PMC10970068 DOI: 10.3390/genes15030340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 06/14/2024] Open
Abstract
In the rapidly advancing field of bioinformatics, the development and application of computational tools to predict the effects of single nucleotide variants (SNVs) are shedding light on the molecular mechanisms underlying disorders. Also, they hold promise for guiding therapeutic interventions and personalized medicine strategies in the future. A comprehensive understanding of the impact of SNVs in the SERPINA1 gene on alpha-1 antitrypsin (AAT) protein structure and function requires integrating bioinformatic approaches. Here, we provide a guide for clinicians to navigate through the field of computational analyses which can be applied to describe a novel genetic variant. Predicting the clinical significance of SERPINA1 variation allows clinicians to tailor treatment options for individuals with alpha-1 antitrypsin deficiency (AATD) and related conditions, ultimately improving the patient's outcome and quality of life. This paper explores the various bioinformatic methodologies and cutting-edge approaches dedicated to the assessment of molecular variants of genes and their product proteins using SERPINA1 and AAT as an example.
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Affiliation(s)
- Jakub Mróz
- Tunneling Group, Biotechnology Center, Silesian University of Technology, Krzywoustego St. 8, 44-100 Gliwice, Poland;
| | - Magdalena Pelc
- Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 26 Plocka St., 01-138 Warsaw, Poland; (M.P.); (J.C.-W.)
| | - Karolina Mitusińska
- Tunneling Group, Biotechnology Center, Silesian University of Technology, Krzywoustego St. 8, 44-100 Gliwice, Poland;
| | - Joanna Chorostowska-Wynimko
- Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 26 Plocka St., 01-138 Warsaw, Poland; (M.P.); (J.C.-W.)
| | - Aleksandra Jezela-Stanek
- Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 26 Plocka St., 01-138 Warsaw, Poland; (M.P.); (J.C.-W.)
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Sharma S, Ali ME. How do the mutations in PfK13 protein promote anti-malarial drug resistance? J Biomol Struct Dyn 2023; 41:7329-7338. [PMID: 36153000 DOI: 10.1080/07391102.2022.2120539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 08/27/2022] [Indexed: 10/14/2022]
Abstract
Plasmodium falciparum develops resistance to artemisinin upon exposure to the anti-malarial drug. Various mutations in the Plasmodium falciparum Kelch13 (PfK13) protein such as Y493H, R539T, I543T and C580Y have been associated with anti-malarial drug resistance. These mutations impede the regular ubiquitination process that eventually invokes drug resistance. However, the relationship between the mutation and the mechanism of drug resistance has not yet been fully elucidated. The comparative protein dynamics are studied by performing the classical molecular dynamics (MD) simulations and subsequent analysis of the trajectories adopting root-mean-square fluctuations, the secondary-structure predictions and the dynamical cross-correlation matrix analysis tools. Here, we observed that the mutations in the Kelch-domain do not have any structural impact on the mutated site; however, it significantly alters the overall dynamics of the protein. The loop-region of the BTB-domain especially for Y493H and C580Y mutants is found to have the enhanced dynamical fluctuations. The enhanced fluctuations in the BTB-domain could affect the protein-protein (PfK13-Cullin) binding interactions in the ubiquitination process and eventually lead to anti-malarial drug resistance.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Shikha Sharma
- Institute of Nano Science and Technology, Sector-81, Mohali, Punjab, India
| | - Md Ehesan Ali
- Institute of Nano Science and Technology, Sector-81, Mohali, Punjab, India
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Bolivar-Muñoz J, Vits S, Bermudez-Santana CI, Galindo JF. Structural Analysis of the Spike Protein of SARS-CoV-2 Variants and Other Betacoronaviruses Using Molecular Dynamics. Chemphyschem 2022; 23:e202200382. [PMID: 35927218 DOI: 10.1002/cphc.202200382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/03/2022] [Indexed: 01/04/2023]
Abstract
A structural analysis over various spike proteins from three highly pathogenic Betacoronavirus was done to understand their structural differences. The proteins were modeled using crystal structures from SARS-CoV, MERS-CoV, and other Betacoronavirus that infect bats and pangolins. The group was split in two sets; the first set corresponds to the non-mutated spike proteins, while the second set corresponds to mutated spike variants alpha, beta, gamma, delta, omicron and mu; five of them classified as variants of concern and the last one as variant of interest. A conformational space exploration was carried out for every protein by using molecular dynamic simulations. Root mean square fluctuations, principal component and cross-correlation analysis were carried out over the dynamics to analyze the flexibility and rigidity of every protein in comparison to the wild type Spike protein from the SARS-CoV-2. The obtained results indicate that the proteins, which are not spread among humans, have smooth movements compared to those of SARS-CoV-2 and its variants. In addition, a relationship between the speed of the virulence and the movement of the protein can explain the behavior of delta and omicron variants.
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Affiliation(s)
- Jonathan Bolivar-Muñoz
- Department of Chemistry, Center of Excellence in Scientific Computing, Universidad Nacional de Colombia, Bogotá, 111321, Colombia
| | - Sofia Vits
- Department of Biology, Center of Excellence in Scientific Computing, Universidad Nacional de Colombia, Bogotá, 111321, Colombia
| | - Clara Isabel Bermudez-Santana
- Department of Biology, Center of Excellence in Scientific Computing, Universidad Nacional de Colombia, Bogotá, 111321, Colombia
| | - Johan Fabian Galindo
- Department of Chemistry, Center of Excellence in Scientific Computing, Universidad Nacional de Colombia, Bogotá, 111321, Colombia
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Cha M, Emre EST, Xiao X, Kim JY, Bogdan P, VanEpps JS, Violi A, Kotov NA. Unifying structural descriptors for biological and bioinspired nanoscale complexes. NATURE COMPUTATIONAL SCIENCE 2022; 2:243-252. [PMID: 38177552 DOI: 10.1038/s43588-022-00229-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/17/2022] [Indexed: 01/06/2024]
Abstract
Biomimetic nanoparticles are known to serve as nanoscale adjuvants, enzyme mimics and amyloid fibrillation inhibitors. Their further development requires better understanding of their interactions with proteins. The abundant knowledge about protein-protein interactions can serve as a guide for designing protein-nanoparticle assemblies, but the chemical and biological inputs used in computational packages for protein-protein interactions are not applicable to inorganic nanoparticles. Analysing chemical, geometrical and graph-theoretical descriptors for protein complexes, we found that geometrical and graph-theoretical descriptors are uniformly applicable to biological and inorganic nanostructures and can predict interaction sites in protein pairs with accuracy >80% and classification probability ~90%. We extended the machine-learning algorithms trained on protein-protein interactions to inorganic nanoparticles and found a nearly exact match between experimental and predicted interaction sites with proteins. These findings can be extended to other organic and inorganic nanoparticles to predict their assemblies with biomolecules and other chemical structures forming lock-and-key complexes.
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Affiliation(s)
- Minjeong Cha
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
| | - Emine Sumeyra Turali Emre
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Xiongye Xiao
- Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
| | - Ji-Young Kim
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Paul Bogdan
- Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
| | - J Scott VanEpps
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
- Program in Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI, USA
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA
| | - Angela Violi
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biophysics Program, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas A Kotov
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA.
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
- Program in Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI, USA.
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Montes-Robledo A, Baldiris-Avila R, Galindo JF. D-Mannoside FimH Inhibitors as Non-Antibiotic Alternatives for Uropathogenic Escherichia coli. Antibiotics (Basel) 2021; 10:antibiotics10091072. [PMID: 34572654 PMCID: PMC8465801 DOI: 10.3390/antibiotics10091072] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/30/2021] [Accepted: 08/03/2021] [Indexed: 11/20/2022] Open
Abstract
FimH is a type I fimbria of uropathogenic Escherichia coli (UPEC), recognized for its ability to adhere and infect epithelial urinary tissue. Due to its role in the virulence of UPEC, several therapeutic strategies have focused on the study of FimH, including vaccines, mannosides, and molecules that inhibit their assembly. This work has focused on the ability of a set of monosubstituted and disubstituted phenyl mannosides to inhibit FimH. To determine the 3D structure of FimH for our in silico studies, we obtained fifteen sequences by PCR amplification of the fimH gene from 102 UPEC isolates. The fimH sequences in BLAST had a high homology (97–100%) to our UPEC fimH sequences. A search for the three-dimensional crystallographic structure of FimH proteins in the PDB server showed that proteins 4X5P and 4XO9 were found in 10 of the 15 isolates, presenting a 67% influx among our UPEC isolates. We focused on these two proteins to study the stability, free energy, and the interactions with different mannoside ligands. We found that the interactions with the residues of aspartic acid (ASP 54) and glutamine (GLN 133) were significant to the binding stability. The ligands assessed demonstrated high binding affinity and stability with the lectin domain of FimH proteins during the molecular dynamic simulations, based on MM-PBSA analysis. Therefore, our results suggest the potential utility of phenyl mannoside derivatives as FimH inhibitors to mitigate urinary tract infections produced by UPEC; thus, decreasing colonization, disease burden, and the costs of medical care.
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Affiliation(s)
- Alfredo Montes-Robledo
- Grupo de Investigación Microbiología Clínica y Ambiental, Facultad de Ciencias Exactas y Naturales, Universidad de Cartagena, Cartagena de Indias 13001, Colombia;
- Maestría en Microbiología, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias 13001, Colombia
| | - Rosa Baldiris-Avila
- Grupo de Investigación Microbiología Clínica y Ambiental, Facultad de Ciencias Exactas y Naturales, Universidad de Cartagena, Cartagena de Indias 13001, Colombia;
- Maestría en Microbiología, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias 13001, Colombia
- Grupo de Investigación CIPTEC, Facultad de Ingeniería, Fundacion Universitaria Tecnologico Comfenalco—Cartagena, Cartagena de Indias 13001, Colombia
- Correspondence: (R.B.-A.); (J.F.G.)
| | - Johan Fabian Galindo
- Departamento de Química, Universidad Nacional de Colombia, Bogotá 11321, Colombia
- Correspondence: (R.B.-A.); (J.F.G.)
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Ardila-Leal LD, Monterey-Gutiérrez PA, Poutou-Piñales RA, Quevedo-Hidalgo BE, Galindo JF, Pedroza-Rodríguez AM. Recombinant laccase rPOXA 1B real-time, accelerated and molecular dynamics stability study. BMC Biotechnol 2021; 21:37. [PMID: 34088291 PMCID: PMC8178886 DOI: 10.1186/s12896-021-00698-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 05/24/2021] [Indexed: 12/28/2022] Open
Abstract
Background Laccases (EC 1.10.3.2) are multi-copper oxidoreductases with great biotechnological importance due to their high oxidative potential and utility for removing synthetic dyes, oxidizing phenolic compounds, and degrading pesticides, among others. Methods A real-time stability study (RTS) was conducted for a year, by using enzyme concentrates from 3 batches (L1, L3, and L4). For which, five temperatures 243.15, 277.15, 298.15, 303.15, 308.15, and 313.15 K were assayed. Using RTS data and the Arrhenius equation, we calculated the rPOXA 1B accelerated stability (AS). Molecular dynamics (MD) computational study results were very close to those obtained experimentally at four different temperatures 241, 278, 298, and 314 K. Results In the RTS, 101.16, 115.81, 75.23, 46.09, 5.81, and 4.83% of the relative enzyme activity were recovered, at respective assayed temperatures. AS study, showed that rPOXA 1B is stable at 240.98 ± 5.38, 277.40 ± 1.32 or 297.53 ± 3.88 K; with t1/2 values of 230.8, 46.2, and 12.6 months, respectively. Kinetic and thermodynamic parameters supported the high stability of rPOXA 1B, with an Ed value of 41.40 KJ mol− 1, a low variation of KM and Vmax, at 240.98 ± 5.38, and 297.53 ± 3.88 K, and ∆G values showing deactivation reaction does not occur. The MD indicates that fluctuations in loop, coils or loops with hydrophilic or intermediate polarity amino acids as well as in some residues of POXA 1B 3D structure, increases with temperature; changing from three fluctuating residues at 278 K to six residues at 298 K, and nine residues at 314 K. Conclusions Laccase rPOXA 1B demonstrated experimentally and computationally to be a stable enzyme, with t1/2 of 230.8, 46.2 or 12.6 months, if it is preserved impure without preservatives at temperatures of 240.98 ± 5.38, 277.40 ± 1.32 or 297.53 ± 3.88 K respectively; this study could be of great utility for large scale producers. Supplementary Information The online version contains supplementary material available at 10.1186/s12896-021-00698-3.
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Affiliation(s)
- Leidy D Ardila-Leal
- Departamento de Microbiología. Facultad de Ciencias. Pontificia Universidad Javeriana (PUJ). Bogotá, Laboratorio de Biotecnología Molecular, Grupo de Biotecnología Ambiental e Industrial (GBAI), Bogotá, D.C, Colombia
| | - Pedro A Monterey-Gutiérrez
- Vicerrectoría Académica. Universidad Antonio Nariño, Programa de Maestría y Doctorado en Educación Matemática, Bogotá, D.C, Colombia
| | - Raúl A Poutou-Piñales
- Departamento de Microbiología. Facultad de Ciencias. Pontificia Universidad Javeriana (PUJ). Bogotá, Laboratorio de Biotecnología Molecular, Grupo de Biotecnología Ambiental e Industrial (GBAI), Bogotá, D.C, Colombia.
| | - Balkys E Quevedo-Hidalgo
- Departamento de Microbiología. Facultad de Ciencias. Pontificia Universidad Javeriana (PUJ), Laboratorio de Biotecnología Aplicada, Grupo de Biotecnología Ambiental e Industrial (GBAI), Bogotá, D.C, Colombia.
| | - Johan F Galindo
- Departamento de Química, Universidad Nacional de Colombia, Bogotá, D.C, Colombia.
| | - Aura M Pedroza-Rodríguez
- Departamento de Microbiología. Facultad de Ciencias. Pontificia Universidad Javeriana (PUJ). Bogotá, Laboratorio de Microbiología Ambiental y de Suelos, Grupo de Biotecnología Ambiental e Industrial (GBAI), Bogotá, D.C, Colombia
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Soares TA, Wahab HA. Outlook on the Development and Application of Molecular Simulations in Latin America. J Chem Inf Model 2020; 60:435-438. [PMID: 32009389 DOI: 10.1021/acs.jcim.0c00112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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