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Sang Y, Huang X, Li H, Hong T, Zheng M, Li Z, Jiang Z, Ni H, Li Q, Zhu Y. Improving the thermostability of Pseudoalteromonas Porphyrae κ-carrageenase by rational design and MD simulation. AMB Express 2024; 14:8. [PMID: 38245573 PMCID: PMC10799840 DOI: 10.1186/s13568-024-01661-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/22/2024] Open
Abstract
The industrial applications of the κ-carrageenases have been restricted by their poor thermostability. In this study, based on the folding free energy change (ΔΔG) and the flexibility analysis using molecular dynamics (MD) simulation for the alkaline κ-carrageenase KCgCD from Pseudoalteromonas porphyrae (WT), the mutant S190R was identified with improved thermostability. After incubation at 50 °C for 30 min, the residual activity of S190R was 63.7%, 25.7% higher than that of WT. The Tm values determined by differential scanning calorimetry were 66.2 °C and 64.4 °C for S190R and WT, respectively. The optimal temperature of S190R was 10 °C higher than that of WT. The κ-carrageenan hydrolysates produced by S190R showed higher xanthine oxidase inhibitory activity compared with the untreated κ-carrageenan. MD simulation analysis of S190R showed that the residues (V186-M194 and P196-G197) in F5 and the key residue R150 in F3 displayed the decreased flexibility, and residues of T169-N173 near the catalytic center displayed the increased flexibility. These changed flexibilities might be the reasons for the improved thermostability of mutant S190R. This study provides a useful rational design strategy of combination of ΔΔG calculation and MD simulation to improve the κ-carrageenase's thermostability for its better industrial applications.
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Affiliation(s)
- Yuyan Sang
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
| | - Xiaoyi Huang
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
| | - Hebin Li
- Department of Pharmacy, Xiamen Medical College, 361008, Xiamen, China
| | - Tao Hong
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China
| | - Mingjing Zheng
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China
| | - Zhipeng Li
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China
| | - Zedong Jiang
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China
| | - Hui Ni
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China
| | - Qingbiao Li
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China
| | - Yanbing Zhu
- College of Ocean Food and Biological Engineering, Jimei University, 361021, Xiamen, China.
- Fujian Provincial Key Laboratory of Food Microbiology and Enzyme Engineering, 361021, Xiamen, China.
- Research Center of Food Biotechnology of Xiamen City, 361021, Xiamen, China.
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Di Martino J, Arcieri M, Madeddu F, Pieroni M, Carotenuto G, Bottoni P, Botta L, Castrignanò T, Gabellone S, Saladino R. Molecular Dynamics Investigations of Human DNA-Topoisomerase I Interacting with Novel Dewar Valence Photo-Adducts: Insights into Inhibitory Activity. Int J Mol Sci 2023; 25:234. [PMID: 38203410 PMCID: PMC10778928 DOI: 10.3390/ijms25010234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Chronic exposure to ultraviolet (UV) radiation is known to induce the formation of DNA photo-adducts, including cyclobutane pyrimidine dimers (CPDs) and Dewar valence derivatives (DVs). While CPDs usually occur at higher frequency than DVs, recent studies have shown that the latter display superior selectivity and significant stability in interaction with the human DNA/topoisomerase 1 complex (TOP1). With the aim to deeply investigate the mechanism of interaction of DVs with TOP1, we report here four all-atom molecular dynamic simulations spanning one microsecond. These simulations are focused on the stability and conformational changes of two DNA/TOP1-DV complexes in solution, the data being compared with the biomimetic thymine dimer counterparts. Results from root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF) analyses unequivocally confirmed increased stability of the DNA/TOP1-DV complexes throughout the simulation duration. Detailed interaction analyses, uncovering the presence of salt bridges, hydrogen bonds, water-mediated interactions, and hydrophobic interactions, as well as pinpointing the non-covalent interactions within the complexes, enabled the identification of specific TOP1 residues involved in the interactions over time and suggested a potential TOP1 inhibition mechanism in action.
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Affiliation(s)
- Jessica Di Martino
- Department of Ecological and Biological Sciences, Tuscia University, Largo dell’Università snc, 01100 Viterbo, Italy; (J.D.M.); (R.S.)
| | - Manuel Arcieri
- Department of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark;
| | - Francesco Madeddu
- Department of Computer Science, “Sapienza” University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy (M.P.); (P.B.)
| | - Michele Pieroni
- Department of Computer Science, “Sapienza” University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy (M.P.); (P.B.)
| | - Giovanni Carotenuto
- Department of Ecological and Biological Sciences, Tuscia University, Largo dell’Università snc, 01100 Viterbo, Italy; (J.D.M.); (R.S.)
| | - Paolo Bottoni
- Department of Computer Science, “Sapienza” University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy (M.P.); (P.B.)
| | - Lorenzo Botta
- Department of Ecological and Biological Sciences, Tuscia University, Largo dell’Università snc, 01100 Viterbo, Italy; (J.D.M.); (R.S.)
| | - Tiziana Castrignanò
- Department of Ecological and Biological Sciences, Tuscia University, Largo dell’Università snc, 01100 Viterbo, Italy; (J.D.M.); (R.S.)
| | - Sofia Gabellone
- Department of Ecological and Biological Sciences, Tuscia University, Largo dell’Università snc, 01100 Viterbo, Italy; (J.D.M.); (R.S.)
- Preclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
| | - Raffaele Saladino
- Department of Ecological and Biological Sciences, Tuscia University, Largo dell’Università snc, 01100 Viterbo, Italy; (J.D.M.); (R.S.)
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Pieroni M, Madeddu F, Di Martino J, Arcieri M, Parisi V, Bottoni P, Castrignanò T. MD-Ligand-Receptor: A High-Performance Computing Tool for Characterizing Ligand-Receptor Binding Interactions in Molecular Dynamics Trajectories. Int J Mol Sci 2023; 24:11671. [PMID: 37511429 PMCID: PMC10380688 DOI: 10.3390/ijms241411671] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Molecular dynamics simulation is a widely employed computational technique for studying the dynamic behavior of molecular systems over time. By simulating macromolecular biological systems consisting of a drug, a receptor and a solvated environment with thousands of water molecules, MD allows for realistic ligand-receptor binding interactions (lrbi) to be studied. In this study, we present MD-ligand-receptor (MDLR), a state-of-the-art software designed to explore the intricate interactions between ligands and receptors over time using molecular dynamics trajectories. Unlike traditional static analysis tools, MDLR goes beyond simply taking a snapshot of ligand-receptor binding interactions (lrbi), uncovering long-lasting molecular interactions and predicting the time-dependent inhibitory activity of specific drugs. With MDLR, researchers can gain insights into the dynamic behavior of complex ligand-receptor systems. Our pipeline is optimized for high-performance computing, capable of efficiently processing vast molecular dynamics trajectories on multicore Linux servers or even multinode HPC clusters. In the latter case, MDLR allows the user to analyze large trajectories in a very short time. To facilitate the exploration and visualization of lrbi, we provide an intuitive Python notebook (Jupyter), which allows users to examine and interpret the results through various graphical representations.
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Affiliation(s)
- Michele Pieroni
- Department of Computer Science, "Sapienza" University of Rome, V. le Regina Elena 295, 00161 Rome, Italy
| | - Francesco Madeddu
- Department of Computer Science, "Sapienza" University of Rome, V. le Regina Elena 295, 00161 Rome, Italy
| | - Jessica Di Martino
- Department of Ecological and Biological Sciences, Tuscia University, Viale dell'Università s.n.c., 01100 Viterbo, Italy
| | - Manuel Arcieri
- Department of Health Technology, Technical University of Denmark, Anker Engelunds Vej 101, 2800 Kongens Lyngby, Denmark
| | - Valerio Parisi
- Department of Physics, "Sapienza" University of Rome, P. le Aldo Moro, 5, 00185 Rome, Italy
| | - Paolo Bottoni
- Department of Computer Science, "Sapienza" University of Rome, V. le Regina Elena 295, 00161 Rome, Italy
| | - Tiziana Castrignanò
- Department of Ecological and Biological Sciences, Tuscia University, Viale dell'Università s.n.c., 01100 Viterbo, Italy
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