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Chen PY, Chen YC, Chen PP, Lin KT, Sargsyan K, Hsu CP, Wang WL, Hsia KC, Ting SY. A whole-cell platform for discovering synthetic cell adhesion molecules in bacteria. Nat Commun 2024; 15:6568. [PMID: 39095377 PMCID: PMC11297345 DOI: 10.1038/s41467-024-51017-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 07/26/2024] [Indexed: 08/04/2024] Open
Abstract
Developing programmable bacterial cell-cell adhesion is of significant interest due to its versatile applications. Current methods that rely on presenting cell adhesion molecules (CAMs) on bacterial surfaces are limited by the lack of a generalizable strategy to identify such molecules targeting bacterial membrane proteins in their natural states. Here, we introduce a whole-cell screening platform designed to discover CAMs targeting bacterial membrane proteins within a synthetic bacteria-displayed nanobody library. Leveraging the potency of the bacterial type IV secretion system-a contact-dependent DNA delivery nanomachine-we have established a positive feedback mechanism to selectively enrich for bacteria displaying nanobodies that target antigen-expressing cells. Our platform successfully identified functional CAMs capable of recognizing three distinct outer membrane proteins (TraN, OmpA, OmpC), demonstrating its efficacy in CAM discovery. This approach holds promise for engineering bacterial cell-cell adhesion, such as directing the antibacterial activity of programmed inhibitor cells toward target bacteria in mixed populations.
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Affiliation(s)
- Po-Yin Chen
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
- Molecular and Cell Biology, Taiwan International Graduate Program, Academia Sinica and National Defense Medical Center, Taipei, Taiwan
| | - Yung-Chih Chen
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Po-Pang Chen
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
- Institute of Biochemistry and Molecular Biology, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Kuan-Ting Lin
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
- Program in Molecular Medicine, National Yang-Ming Chao-Tung University and Academia Sinica, Taipei, Taiwan
| | | | - Chao-Ping Hsu
- Institute of Chemistry, Academia Sinica, Taipei, Taiwan
- Physics Division, National Center for Theoretical Sciences, Taipei, Taiwan
- Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan
| | - Wei-Le Wang
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
- Molecular and Cell Biology, Taiwan International Graduate Program, Academia Sinica and National Defense Medical Center, Taipei, Taiwan
- Program in Molecular Medicine, National Yang-Ming Chao-Tung University and Academia Sinica, Taipei, Taiwan
| | - Kuo-Chiang Hsia
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
- Molecular and Cell Biology, Taiwan International Graduate Program, Academia Sinica and National Defense Medical Center, Taipei, Taiwan
- Institute of Biochemistry and Molecular Biology, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - See-Yeun Ting
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
- Molecular and Cell Biology, Taiwan International Graduate Program, Academia Sinica and National Defense Medical Center, Taipei, Taiwan.
- Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan.
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2
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Li Y, Zhang W, Jiang Y, Devahastin S, Hu X, Song Z, Yi J. Inactivation mechanisms on pectin methylesterase by high pressure processing combined with its recombinant inhibitor. Food Chem 2024; 446:138806. [PMID: 38402767 DOI: 10.1016/j.foodchem.2024.138806] [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: 12/20/2023] [Revised: 02/18/2024] [Accepted: 02/18/2024] [Indexed: 02/27/2024]
Abstract
High pressure processing (HPP) juice often experiences cloud loss during storage, caused by the activity of pectin methylesterase (PME). The combination of HPP with natural pectin methylesterase inhibitor (PMEI) could improve juice stability. However, extracting natural PMEI is challenging. Gene recombination technology offers a solution by efficiently expressing recombinant PMEI from Escherichia coli and Pichia pastoris. Experimental and molecular dynamics simulation were conducted to investigate changes in activity, structure, and interaction of PME and recombinant PMEI during HPP. The results showed PME retained high residual activity, while PMEI demonstrated superior pressure resistance. Under HPP, PMEI's structure remained stable, while the N-terminus of PME's α-helix became unstable. Additionally, the helix at the junction with the PME/PMEI complex changed, thereby affecting its binding. Furthermore, PMEI competed with pectin for active sites on PME, elucidating. The potential mechanism of PME inactivation through the synergistic effects of HPP and PMEI.
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Affiliation(s)
- Yantong Li
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming 650500, China; International Green Food Processing Research and Development Center of Kunming City, Kunming 650500, China; Yunnan Key Laboratory for Food Advanced Manufacturing, 650500, Kunming, China
| | - Wanzhen Zhang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming 650500, China; International Green Food Processing Research and Development Center of Kunming City, Kunming 650500, China; Yunnan Key Laboratory for Food Advanced Manufacturing, 650500, Kunming, China
| | - Yongli Jiang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming 650500, China; International Green Food Processing Research and Development Center of Kunming City, Kunming 650500, China; Yunnan Key Laboratory for Food Advanced Manufacturing, 650500, Kunming, China
| | - Sakamon Devahastin
- International Green Food Processing Research and Development Center of Kunming City, Kunming 650500, China; Department of Food Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Tungkru, Bangkok 10140, Thailand
| | - Xiaosong Hu
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China; College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Zibo Song
- Yunnan Maoduoli Group Food Co., Ltd., 653100 Yuxi, Yunnan, China; Yunnan Provincial Key Laboratory of Applied Technology for Special Forest Fruits, 653100 Yuxi, Yunnan, China
| | - Junjie Yi
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming 650500, China; International Green Food Processing Research and Development Center of Kunming City, Kunming 650500, China; Yunnan Key Laboratory for Food Advanced Manufacturing, 650500, Kunming, China; Yunnan Maoduoli Group Food Co., Ltd., 653100 Yuxi, Yunnan, China.
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Wang J, Wang X, Chu Y, Li C, Li X, Meng X, Fang Y, No KT, Mao J, Zeng X. Exploring the Conformational Ensembles of Protein-Protein Complex with Transformer-Based Generative Model. J Chem Theory Comput 2024; 20:4469-4480. [PMID: 38816696 DOI: 10.1021/acs.jctc.4c00255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Protein-protein interactions are the basis of many protein functions, and understanding the contact and conformational changes of protein-protein interactions is crucial for linking the protein structure to biological function. Although difficult to detect experimentally, molecular dynamics (MD) simulations are widely used to study the conformational ensembles and dynamics of protein-protein complexes, but there are significant limitations in sampling efficiency and computational costs. In this study, a generative neural network was trained on protein-protein complex conformations obtained from molecular simulations to directly generate novel conformations with physical realism. We demonstrated the use of a deep learning model based on the transformer architecture to explore the conformational ensembles of protein-protein complexes through MD simulations. The results showed that the learned latent space can be used to generate unsampled conformations of protein-protein complexes for obtaining new conformations complementing pre-existing ones, which can be used as an exploratory tool for the analysis and enhancement of molecular simulations of protein-protein complexes.
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Affiliation(s)
- Jianmin Wang
- The Interdisciplinary Graduate Program in Integrative Biotechnology, Yonsei University, Incheon 21983, Korea
| | - Xun Wang
- School of Computer Science and Technology, China University of Petroleum, Qingdao, Shandong 266580, P. R. China
- High Performance Computer Research Center, University of Chinese Academy of Sciences, Beijing 100190, P. R. China
| | - Yanyi Chu
- Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Chunyan Li
- School of Informatics, Yunnan Normal University, Kunming, Yunnan 650500, P. R. China
| | - Xue Li
- School of Computer Science and Technology, China University of Petroleum, Qingdao, Shandong 266580, P. R. China
| | - Xiangyu Meng
- School of Computer Science and Technology, China University of Petroleum, Qingdao, Shandong 266580, P. R. China
| | - Yitian Fang
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Kyoung Tai No
- The Interdisciplinary Graduate Program in Integrative Biotechnology, Yonsei University, Incheon 21983, Korea
| | - Jiashun Mao
- School of Medical Information and Engineering, Southwest Medical University, Luzhou, Sichuan 646000, P. R. China
| | - Xiangxiang Zeng
- College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, P. R. China
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Childers MC, Geeves MA, Regnier M. An atomistic model of myosin interacting heads motif dynamics and their modification by 2'-deoxy-ADP. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.06.597809. [PMID: 38895221 PMCID: PMC11185614 DOI: 10.1101/2024.06.06.597809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
The contraction of striated muscle is driven by cycling myosin motor proteins embedded within the thick filaments of sarcomeres. In addition to cross-bridge cycling with actin, these myosin proteins can enter an inactive, sequestered state in which the globular S1 heads rest along the thick filament surface and are unable to perform motor activities. Structurally, this state is called the interacting heads motif (IHM) and is a critical conformational state of myosin that regulates muscle contractility and energy expenditure. Structural perturbation of the sequestered state via missense mutations can pathologically disrupt the mechanical performance of muscle tissue. Thus, the IHM state has become a target for therapeutic intervention. An ATP analogue called 2'-deoxy-ATP (dATP) is a potent myosin activator which destabilizes the IHM. Here we use molecular dynamics simulations to study the molecular mechanisms by which dATP modifies the structure and dynamics of myosin in a sequestered state. Simulations with IHM containing ADP.Pi in both nucleotide binding pockets revealed residual dynamics in an otherwise 'inactive' and 'sequestered' state of a motor protein. Replacement of ADP.Pi by dADP.Pi triggered a series of structural changes that modify the protein-protein interface that stabilizes the sequestered state, and changes to this interface were accompanied by allosteric changes in remote regions of the protein complex. A comparative analysis of these dynamics predicted new structural sites that may affect IHM stability.
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Sabei A, Hognon C, Martin J, Frezza E. Dynamics of Protein-RNA Interfaces Using All-Atom Molecular Dynamics Simulations. J Phys Chem B 2024; 128:4865-4886. [PMID: 38740056 DOI: 10.1021/acs.jpcb.3c07698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Facing the current challenges posed by human health diseases requires the understanding of cell machinery at a molecular level. The interplay between proteins and RNA is key for any physiological phenomenon, as well protein-RNA interactions. To understand these interactions, many experimental techniques have been developed, spanning a very wide range of spatial and temporal resolutions. In particular, the knowledge of tridimensional structures of protein-RNA complexes provides structural, mechanical, and dynamical pieces of information essential to understand their functions. To get insights into the dynamics of protein-RNA complexes, we carried out all-atom molecular dynamics simulations in explicit solvent on nine different protein-RNA complexes with different functions and interface size by taking into account the bound and unbound forms. First, we characterized structural changes upon binding and, for the RNA part, the change in the puckering. Second, we extensively analyzed the interfaces, their dynamics and structural properties, and the structural waters involved in the binding, as well as the contacts mediated by them. Based on our analysis, the interfaces rearranged during the simulation time showing alternative and stable residue-residue contacts with respect to the experimental structure.
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Affiliation(s)
- Afra Sabei
- Université Paris Cité, CiTCoM, CNRS, Paris F-75006, France
| | - Cécilia Hognon
- Université Paris Cité, CiTCoM, CNRS, Paris F-75006, France
| | - Juliette Martin
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, UMR 5086 MMSB, Lyon 69367, France
- Laboratory of Biology and Modeling of the Cell, Université de Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, Inserm U1293, Lyon 69367, France
| | - Elisa Frezza
- Université Paris Cité, CiTCoM, CNRS, Paris F-75006, France
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Tripathi N, Saraf P, Bhardwaj N, Shrivastava SK, Jain SK. Identifying inflammation-related targets of natural lactones using network pharmacology, molecular modeling and in vitro approaches. J Biomol Struct Dyn 2024:1-16. [PMID: 38334283 DOI: 10.1080/07391102.2024.2310783] [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: 11/25/2023] [Accepted: 01/20/2024] [Indexed: 02/10/2024]
Abstract
Natural lactones have been used in traditional and folklore medicine for centuries owing to their anti-inflammatory properties. The study uses a multifaceted approach to identify lead anti-inflammatory lactones from the SISTEMATX natural products database. The study analyzed the natural lactone database, revealing 18 lactones linked to inflammation targets. The primary targets were PTGES, PTGS1, COX-2, ALOX5 and IL1B. STX 12273 was the best hit, with the lowest binding energy and potential for inhibiting the COX-2 enzyme. The study suggested natural lactone, STX 12273, from the SISTEMATX database with anti-inflammatory potential and postulated its use for inflammation treatment or prevention.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Nancy Tripathi
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, India
| | - Poorvi Saraf
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, India
| | - Nivedita Bhardwaj
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, India
| | - Sushant Kumar Shrivastava
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, India
| | - Shreyans K Jain
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi, India
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Luo S, Wohl S, Zheng W, Yang S. Biophysical and Integrative Characterization of Protein Intrinsic Disorder as a Prime Target for Drug Discovery. Biomolecules 2023; 13:biom13030530. [PMID: 36979465 PMCID: PMC10046839 DOI: 10.3390/biom13030530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Protein intrinsic disorder is increasingly recognized for its biological and disease-driven functions. However, it represents significant challenges for biophysical studies due to its high conformational flexibility. In addressing these challenges, we highlight the complementary and distinct capabilities of a range of experimental and computational methods and further describe integrative strategies available for combining these techniques. Integrative biophysics methods provide valuable insights into the sequence–structure–function relationship of disordered proteins, setting the stage for protein intrinsic disorder to become a promising target for drug discovery. Finally, we briefly summarize recent advances in the development of new small molecule inhibitors targeting the disordered N-terminal domains of three vital transcription factors.
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Affiliation(s)
- Shuqi Luo
- Center for Proteomics and Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Samuel Wohl
- Department of Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Wenwei Zheng
- College of Integrative Sciences and Arts, Arizona State University, Mesa, AZ 85212, USA
- Correspondence: (W.Z.); (S.Y.)
| | - Sichun Yang
- Center for Proteomics and Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA
- Correspondence: (W.Z.); (S.Y.)
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