Dataset of Proteins Involved in Metal Resistance

Description

Dataset of Proteins Involved in Metal Resistance   General Information This repository contains a curated collection of protein datasets related to Metal resistance in bacteria, fungi, and plants.   The datasets have been compiled from multiple publicly available sources and filtered for relevance. Bacterial Metal Resistance Proteins BacMet: Creative Commons Attribution 4.0 International CC BY 4.0 UniProt: Creative Commons Attribution 4.0 International CC BY 4.0 Fungal Metal Resistance Proteins UniProt: Creative Commons Attribution 4.0 International CC BY 4.0 Plant Metal Resistance Proteins   UniProt: Creative Commons Attribution 4.0 International CC BY 4.0   PlantPres: No licensing associated. (http://www.proteome.ir/ContactUs.aspx) Usage and Attribution This dataset is freely available under CC BY 4.0, respecting the original data sources' licensing terms.   If you use this dataset, please cite:   UniProt- The UniProt Consortium (2024). Nucleic Acids Research, 52(D1), D1–D10. DOI: 10.1093/nar/gky1049  MEGARes-Lakin, S. M., et al. (2017). Nucleic Acids Research, 45(D1), D574–D580. DOI: 10.1093/nar/gkw1009  BacMet- Pal, C., et al. (2014). Nucleic Acids Research, 42(D1), D737–D743. DOI: 10.1093/nar/gkt1252  PlantPres- Mousavi et al. (2016), Journal of Proteomics,143 , D69-D72. DOI: 10.1016/j.jprot.2016.03.009   BIOSYSMOdb was developed as part of the BIOSYSMO project, which has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101060211. Acknowledgments BacMet, UniProt, and PlantPres – For providing essential data that supported the curation of BIOSYSMOdb. BIOSYSMO consortium – For their contributions to the database’s design and development. We extend our gratitude to the Horizon Europe programme and the European Union for their support in advancing research on bioremediation and biodegradation.     Contact Information For inquiries, please contact:   📧 Project Coordinator: Dr. Sara Gil Guerrero, Main Researcher: Marta Franco de Benito, MsC 🏛️ IDENER.ai   ✉️ sara.gil@idener.ai , marta.franco@idener.ai   Version and Updates Version: 1.0  (for all datsets) Last updated: 02/12/2025    

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