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Name Authors DOI Group Summary Associated Publications RRIDs used Affiliations External URL Version Publication Date Proper Citation Record Last Update
PCR Cloning with Blue/White Selection and Easy Insert Excision
 
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Promega, Trevor Wagner DOI:10.17504/protocols.io.k5kcy4w Promega Protocol for PCR Cloning with Blue/White Selection and Easy Insert Excision using pGEM®-T Easy Vector Systems.(For use with A3600, A3610, A1360, or A1380.)   , Promega Corporation https://www.promega.com/-/media/files/resources/protocols/technical-manuals/0/pgem-t-and-pgem-t-easy-vector-systems-protocol.pdf?la=en 1 2018 Promega, Trevor Wagner 2018. PCR Cloning with Blue/White Selection and Easy Insert Excision. protocols.io https://dx.doi.org/10.17504/protocols.io.k5kcy4w 2021-04-15 09:14:28
DAB Detection of Biocytin Labeled Tissue
 
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Allen Institute for Brain Science DOI:10.17504/protocols.io.bep5jdq6 BICCN, Allen Institute for Brain Science This protocol describes the process for diaminobenzidine (DAB) detection of biocytin filled cells. This protocol is optimized for use with brain slices cut at 350 µm thick, in which cells are first filled with biocytin (i.e., post-electrophysiological recording), fixed in 4% PFA/2.5% glutaraldehyde, and transferred to PBS until ready to stain.Note: Research reported in this publication was supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number U19MH114830. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Allen Institute 3 2020 Allen Institute for Brain Science 2020. DAB Detection of Biocytin Labeled Tissue. protocols.io https://dx.doi.org/10.17504/protocols.io.bep5jdq6 2021-04-15 09:14:36
cDNA Synthesis
 
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Allen Institute for Brain Science DOI:10.17504/protocols.io.bgnbjvan BICCN, Allen Institute for Brain Science This protocol describes the synthesis of first-strand cDNA from total RNA using the Invitrogen SuperScript III Reverse Transcriptase system.Note: Research reported in this publication was supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number U19MH114830. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Allen Institute 4 2020 Allen Institute for Brain Science 2020. cDNA Synthesis. protocols.io https://dx.doi.org/10.17504/protocols.io.bgnbjvan 2021-04-15 09:14:28
M9 base medium for bee gut bacteria
 
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Philipp Engel DOI:10.17504/protocols.io.kdqcs5w This protocol is used to prepare stock solutions for a M9-based ‘minimal’ medium containing trace metals, vitamins, and casamino acids. Pollen extract or other carbon sources can be added to promote growth of bee gut bacteria (proteobacteria). Kešnerová L, Mars RAT, Ellegaard KM, Troilo M, Sauer U, Engel P (2017) Disentangling metabolic functions of bacteria in the honey bee gut. PLoS Biol 15(12): e2003467. doi: 10.1371/journal.pbio.2003467 University of Lausanne https://doi.org/10.1371/journal.pbio.2003467 1 2017 Philipp Engel 2017. M9 base medium for bee gut bacteria. protocols.io https://dx.doi.org/10.17504/protocols.io.kdqcs5w 2021-04-15 09:14:29
Seeking the unicorn
 
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Edgar Andrade-Lotero, Robert Goldstone DOI:10.17504/protocols.io.bts9nnh6 Universidad del Rosario The task is a two-player game in which players interact with 64 tiles arranged in an 8x8 grid. The grid can either hide a unicorn beneath one of the tiles or else it can be absent from the grid. Either event can occur with equal probability. At the beginning of each round, the computer chooses whether or not there is a unicorn, and if there is one, it randomly chooses a tile---each one having an equal probability of being chosen---and places the unicorn beneath it. Then, players have to guess whether there is a unicorn or if it is absent from the grid by uncovering tiles one at a time, with both players uncovering tiles simultaneously, in order to see what lies beneath them. What tiles have been uncovered and whether there is or not a unicorn is only known to the player that uncovers these tiles. However, in the event that both players uncover the same tile, it changes its color and both players can immediately see this. At any time during the round, each player can make a guess as to whether the unicorn is present or absent from the grid. The other player will know this information and they can use it to inform their own guess. The round ends when both players announce that their guess is a final decision, and then they are shown their individual scores from the round. The score depends on whether the player's guess is correct (32 points) or incorrect (-64 points), subtracting the number of tiles that were uncovered by both players. Universidad del Rosario, Indiana University at Bloomington 1 2021 Edgar Andrade-Lotero, Robert Goldstone 2021. Seeking the unicorn. protocols.io https://dx.doi.org/10.17504/protocols.io.bts9nnh6 2021-04-15 09:14:37
RNA Extraction from Sterivex filters
 
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Lauren Krausfeldt DOI:10.17504/protocols.io.gmkbu4w The Aquatic Microbial Ecology Research Group - AMERG (The Buchan, Zinser and Wilhelm labs) RNA extraction from water collected on Sterivex. The DNeasy PowerWater Sterivex kit is used and modified specifically for RNA. Also includes modifications for samples preserved in RNAlater. https://mobio.com/media/wysiwyg/pdfs/protocols/14600-S.pdf 1 2017 Lauren Krausfeldt 2017. RNA Extraction from Sterivex filters . protocols.io https://dx.doi.org/10.17504/protocols.io.gmkbu4w 2021-04-15 09:14:29
Protocols supporting "Metabolomics Investigation of Dietary Effects on Flesh Quality in Grass Carp (Ctenopharyngodon idellus)"
 
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Honghao Zhao, Jasmine Chong, Rong Tang, Li Li, Jianguo Xia, Dapeng Li DOI:10.17504/protocols.io.smhec36 Metabolomics Protocols & Workflows The ultra-high density intensive farming model of grass carp (Ctenopharyngodon idellus) may elicit growth inhibition, decline flesh quality and increase disease susceptibility of fish. The quality degradation and excessive fat accumulation in cultured C. idellus have long been attributed to possible alterations in the lipid metabolism of fish muscle tissues as a result of over-nutrition from artificial diets. To investigate the effects of different diets on fish muscle quality, a large-scale metabolomics study was performed on 250 tails of C. idellus. The experimental fish were divided into four groups based on sex and diets - female artificial feed (FAF), female grass feed (FGF), male artificial feed (MAF) and male grass feed (MGF). After 113 days rearing period, the AF group showed significantly higher total mass of muscle fat (P Our results suggested that grass is a better source of diet fatty acid and protein when compared to artificial feed. Grass feeding could effectively lower triglycerides in serum, reduce fat accumulation and alter lipid compositions in fish muscle by increasing the concentrations of n-3 UFAs, leading to better nutrition and health. College of Fisheries, Hubei Provincial Engineering Laboratory for Pond Aquaculture, National Demonstration Center for Experimental Aquaculture Education, Huazhong Agricultural University, Wuhan 430070, China, Institute of Parasitology, and Department of Animal Science, McGill University, Saint-Anne-de-Bellevue, QC H9X 3V9, Canada, College of Fisheries, Hubei Provincial Engineering Laboratory for Pond Aquaculture, National Demonstration Center for Experimental Aquaculture Education, Huazhong Agricultural University, Wuhan 430070, China, College of Fisheries, Hubei Provincial Engineering Laboratory for Pond Aquaculture, National Demonstration Center for Experimental Aquaculture Education, Huazhong Agricultural University, Wuhan 430070, China, Institute of Parasitology, and Department of Animal Science, McGill University, Saint-Anne-de-Bellevue, QC H9X 3V9, Canada, College of Fisheries, Hubei Provincial Engineering Laboratory for Pond Aquaculture, National Demonstration Center for Experimental Aquaculture Education, Huazhong Agricultural University, Wuhan 430070, China 1 2018 Honghao Zhao, Jasmine Chong, Rong Tang, Li Li, Jianguo Xia, Dapeng Li 2018. Protocols supporting "Metabolomics Investigation of Dietary Effects on Flesh Quality in Grass Carp (Ctenopharyngodon idellus)". protocols.io https://dx.doi.org/10.17504/protocols.io.smhec36 2021-04-15 09:14:38
UC Davis - Metabolomics: Sample preparation for GCTOF analysis
 
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Oliver Fiehn DOI:10.17504/protocols.io.ytjfwkn Mouse Metabolic Phenotyping Centers, Metabolomics Protocols & Workflows This SOP describes sample extraction and sample preparation for primary metabolism profiling by gas chromatography / time of flight mass spectrometry (GCTOF)References: Fiehn O, Kind T (2006) Metabolite profiling in blood plasma. In: Metabolomics: Methods and Protocols. Weckwerth W (ed.), Humana Press, Totowa NJ University of California, Davis https://mmpc.org/shared/document.aspx?id=121&docType=Protocol 1 2019 Oliver Fiehn 2019. UC Davis - Metabolomics: Sample preparation for GCTOF analysis. protocols.io https://dx.doi.org/10.17504/protocols.io.ytjfwkn 2021-04-15 09:14:28
18S V4 tag sequencing PCR amplification and library prep (Illumina)
 
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Lisa Mesrop, Sarah Hu DOI:10.17504/protocols.io.hdmb246 Caron Lab - Protistan Ecology Protocol for PCR amplification of extracted cDNA or DNA and downstream library preparation for MiSeq sequencing.See other related protocols for extraction of RNA and/or DNA from environmental samplesThis protocol is specific to 18S rRNA gene tag sequencing targeting to V4 hypervariable region. We use V4 primers with Illumina adapters that then anneal to the P5 & P7 Illumina-specific indices. This barcoding step allows us to multiplex many samples for MiSeq sequencing. The V4 region is ~400bp, so we typically do MiSeq 250x250bp PE sequencing.  Boeuf D, Edwards BR, Eppley JM, Hu SK, Poff KE, Romano AE, Caron DA, Karl DM, DeLong EF, Biological composition and microbial dynamics of sinking particulate organic matter at abyssal depths in the oligotrophic open ocean. Proceedings of the National Academy of Sciences of the United States of America 116(24). doi: 10.1073/pnas.1903080116 University of Southern California, University of Southern California https://www.neb.com/products/m0494-q5-hot-start-high-fidelity-2x-master-mix 1 2017 Lisa Mesrop, Sarah Hu 2017. 18S V4 tag sequencing PCR amplification and library prep (Illumina). protocols.io https://dx.doi.org/10.17504/protocols.io.hdmb246 2021-04-15 09:14:38
u-Smell-it olfactory test 
 
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dkt DOI:10.17504/protocols.io.bkxkkxkw Coronavirus Method Development Community, XPRIZE Rapid Covid Testing D. Toomre, K Piironen 2 2020 dkt 2020. u-Smell-it olfactory test  . protocols.io https://dx.doi.org/10.17504/protocols.io.bkxkkxkw 2021-04-15 09:14:29
An improved ChEC-seq method for mapping the genome-wide binding of S. cerevisiae transcription factors
 
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Rafal Donczew, Amélia Lalou, Steven Hahn DOI:10.17504/protocols.io.bizgkf3w ChEC-seq and other nuclease-based methods such as Cut&Run map protein locations on DNA by targeting nuclease activity to specific transcription factors and mapping the resulting DNA cleavages (Schmid et al. 2004; Skene and Henikoff 2017; Zentner et al. 2015). For ChEC-seq, yeast cells expressing a protein-micrococcal nuclease (MNase) fusion are permeabilized, MNase is activated by the addition of calcium, and the resulting DNA fragments are mapped. Potential advantages of this approach include avoiding non-specific protein-DNA crosslinking in highly transcribed regions, efficient mapping of factors that do not directly bind DNA and, more sensitive detection of protein-DNA interactions. We optimized the original ChEC-seq protocol to minimize non-specific DNA cleavage, avoid over digestion at authentic binding sites, and efficiently assay large numbers of factors. We also created a robust data analysis pipeline that incorporates peak calling to map binding sites and quantitative analysis, based on utilization of spike-in DNA, to compare factor-DNA binding under different conditions. We used this modified approach to map genome-wide distributions of the transcription coactivators TFIID and SAGA (Donczew et al. 2020) as well as transcription factors Abf1 and Rap1 (Donczew et al, submitted to Mol Cell).ReferencesDonczew R, Warfield L, Pacheco D, Erijman A, Hahn S. 2020. Two roles for the yeast transcription coactivator SAGA and a set of genes redundantly regulated by TFIID and SAGA.eLife 9: e50109.Schmid M, Durussel T, Laemmli UK. 2004. ChIC and ChEC; genomic mapping of chromatin proteins.Mol Cell 16: 147–157.Skene PJ, Henikoff S. 2017. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites.eLife 6: e21856.Warfield L, Ramachandran S, Baptista T, Devys D, Tora L, Hahn S. 2017. Transcription of nearly all yeast RNA Polymerase II-transcribed genes is dependent on transcription factor TFIID.Mol Cell. 68:118-129Zentner GE, Kasinathan S, Xin B, Rohs R, Henikoff S. 2015. ChEC-seq kinetics discriminates transcription factor binding sites by DNA sequence and shape in vivo.Nat Commun 6: 8733. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 USA, Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 USA, Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 USA 3 2020 Rafal Donczew, Amélia Lalou, Steven Hahn 2020. An improved ChEC-seq method for mapping the genome-wide binding of S. cerevisiae transcription factors. protocols.io https://dx.doi.org/10.17504/protocols.io.bizgkf3w 2021-04-15 09:14:38
MOLECULAR IDENTIFICATION OF PHYTOPATHOGENIC FUNGI
 
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Daisy Perez-Brito DOI:10.17504/protocols.io.shteb6n The importance of fungal species differentiation is critical for plant pathology research and disease control purposes. Traditionally, fungal species have been identified by a range of cultural and morphological characteristics, such as conidial morphology, presence or absence of setae, fungicide sensitivity, and colony color and growth rate. Although valuable, these criteria alone are not always adequate as morphological characteristics may vary under different environmental conditions. Among other techniques, sequence analyses of the internal transcribed spacer (ITS) regions, including the 5.8S rDNA, has been used extensively to identify fungal species. This region is the most widely sequenced DNA region of fungi and has been employed as the universal fungal barcode sequence. It is very useful for molecular systematics at species to genus level and within species.This protocol is useful for a primary molecular and accurate identification of any fungal species using the sequence analyses of the ITS-5.8S rDNA region Rodríguez-García CM, Ruiz-Ruiz JC, Peraza-Echeverría L, Peraza-Sánchez SR, Torres-Tapia LW, Pérez-Brito D, Tapia-Tussell R, Herrera-Chalé FG, Segura-Campos MR, Quijano-Ramayo A, Ramón-Sierra JM, Ortiz-Vázquez E (2019) Antioxidant, antihypertensive, anti-hyperglycemic, and antimicrobial activity of aqueous extracts from twelve native plants of the Yucatan coast. PLoS ONE 14(3): e0213493. doi: 10.1371/journal.pone.0213493 https://doi.org/10.1385/MB:33:1:67, 10.1007/s10658-012-0065-7 1 2018 Daisy Perez-Brito 2018. MOLECULAR IDENTIFICATION OF PHYTOPATHOGENIC FUNGI. protocols.io https://dx.doi.org/10.17504/protocols.io.shteb6n 2021-04-15 09:14:29
COVIDscanDX LAMP
 
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Don Cooper DOI:10.17504/protocols.io.bk4dkys6 Coronavirus Method Development Community, XPRIZE Rapid Covid Testing Neuroganics Diagnostics LLC 1 2020 Don Cooper 2020. COVIDscanDX LAMP. protocols.io https://dx.doi.org/10.17504/protocols.io.bk4dkys6 2021-04-15 09:14:29
COVID-19 ARTIC v3 Illumina library construction and sequencing protocol
 
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DNA Pipelines R&D, Benjamin Farr, Diana Rajan, Emma Betteridge, Lesley Shirley, Michael Quail, Naomi Park, Nicholas Redshaw, Iraad Bronner, Louise Aigrain, Scott Goodwin, Scott Thurston, Stefanie Lensing, James Bonfield, Keith James, Nicholas Salmon, Charlotte Beaver, Rachel Nelson, David K. Jackson, Alex Alderton, Ian Johnston DOI:10.17504/protocols.io.bgxjjxkn Coronavirus Method Development Community, COG-UK This SOP describes the procedure for generating cDNA from SARS-CoV-2 viral nucleic acid extracts and subsequently producing 400nt amplicons tiling the viral genome using V3 nCov-2019 primers (ARTIC). This is followed by library construction, equivolume pooling of samples and quantitation, prior to sequencing on the Illumina NovaSeq. It is adapted from the nCov-2019 sequencing protocol which can be found here: https://www.protocols.io/view/ncov-2019-sequencing-protocol-bbmuik6w. Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute, Wellcome Sanger Institute 4 2020 DNA Pipelines R&D, Benjamin Farr, Diana Rajan, Emma Betteridge, Lesley Shirley, Michael Quail, Naomi Park, Nicholas Redshaw, Iraad Bronner, Louise Aigrain, Scott Goodwin, Scott Thurston, Stefanie Lensing, James Bonfield, Keith James, Nicholas Salmon, Charlotte Beaver, Rachel Nelson, David K. Jackson, Alex Alderton, Ian Johnston 2020. COVID-19 ARTIC v3 Illumina library construction and sequencing protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.bgxjjxkn 2021-04-15 09:14:29
asdsda
 
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Mikhail Murzin DOI:10.17504/protocols.io.747hqzn protocols.io 1 2019 Mikhail Murzin 2019. asdsda. protocols.io https://dx.doi.org/10.17504/protocols.io.747hqzn 2021-04-15 09:14:37
EXTRACTS PRODUCTION AND FRACTIONATION
 
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Rene Flores Clavo, Cristian Daniel Asmat Ortega, Nataly Ruiz Quinones DOI:10.17504/protocols.io.br2cm8aw RENE FLORES Universidade Estadual de Campinas, Centro de Investigación en Innovación en Ciencias Activas Multidisciplinarias-CIICAM, Universidade Estadual de Campinas 1 2021 Rene Flores Clavo, Cristian Daniel Asmat Ortega, Nataly Ruiz Quinones 2021. EXTRACTS PRODUCTION AND FRACTIONATION. protocols.io https://dx.doi.org/10.17504/protocols.io.br2cm8aw 2021-04-15 09:14:29
DNA/RNA Radiolabeling Protocol
 
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Liz O'Brien, Connor Tsuchida DOI:10.17504/protocols.io.8dshs6e The Center for Genome Editing and Recording University of California, Berkeley, University of California, Berkeley 1 2019 Liz O'Brien, Connor Tsuchida 2019. DNA/RNA Radiolabeling Protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.8dshs6e 2021-04-15 09:14:28
SARS-CoV-2 NCBI submission protocol: SRA, BioSample, and BioProject
 
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Ruth Timme, Emma Griffiths, Heather Blankenship, Erin Young, Duncan MacCannell, Stacia Wyman DOI:10.17504/protocols.io.bf7bjrin GenomeTrakr, Coronavirus Method Development Community, PHA4GE PURPOSE: This is a SARS-CoV-2 specific protocol that covers the steps needed to establish a new NCBI submission environment for your laboratory, including the creation of new BioProject(s) and submission groups. Once these are step up, the protocol then walks through the process for submitting raw reads to SRA and sample metadata to BioSample through the Submission portal. For new submitters, there's quite a bit of groundwork that needs to be established before a laboratory can start its first data submission. We recommend that one person in the laboratory take a few days to get everything set up in advance of when you expect to do your first data submission. If you need a pipeline for frequent or large volume submissions, follow Step 1 in the SARS-CoV-2 NCBI submission protocol: SRA, BioSample, and BioProject to get your NCBI submission environment established, then contact [email protected] to set up an account for submitting through the API. These protocols cover submission using NCBI's Submission Portal web-interface.Complete in order (1 then 2):1. SARS-CoV-2 NCBI submission protocol: SRA, BioSample, and BioProject (included protocol)Step-by-step instructions for establishing a new NCBI laboratory submission account and for creating and linking a new BioProject to an existing umbrella effort.SARS-CoV-2 raw data submission to SRA (Sequence Read Archive) and metadata to BioSample.2. SARS-CoV-2 NCBI assembly submission protocol: GenBank Required: established BioProject and BioSamplesSubmit SARS-CoV-2 assemblies to NCBI GenBank, linking to existing BioProject, BioSamples, and raw data.2. SARS-CoV-2 NCBI assembly submission protocol: GenBank Required: established BioProject and BioSamples US Food and Drug Administration, University of British Columbia, Michigan Department of Health and Human Services, Utah Public Health Laboratoraty, Centers for Disease Control and Prevention, Innovative Genomics Institute, UC Berkeley 1 2020 Ruth Timme, Emma Griffiths, Heather Blankenship, Erin Young, Duncan MacCannell, Stacia Wyman 2020. SARS-CoV-2 NCBI submission protocol: SRA, BioSample, and BioProject. protocols.io https://dx.doi.org/10.17504/protocols.io.bf7bjrin 2021-04-15 09:14:39
Hydra Dissociation/Reaggregation
 
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Yashodara Abeykoon, Adrienne Cho, Celina Juliano DOI:10.17504/protocols.io.6tyhepw UC Davis, UC Davis, UC Davis 1 2019 Yashodara Abeykoon, Adrienne Cho, Celina Juliano 2019. Hydra Dissociation/Reaggregation . protocols.io https://dx.doi.org/10.17504/protocols.io.6tyhepw 2021-04-15 09:14:39
Molecular dynamics simulation (Protein-Ligand)
 
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Hossein Tarrahimofrad, Amir Meimandipour, Sareh Arjmand, Mohammadtaghi Beigi Nassiri, Ehsan Jahangirian, Hossein Tavana, Javad Zamani, Somayyeh Rahimnahal, Saeed Aminzadeh DOI:10.17504/protocols.io.bgcajsse The prepared protein and protein-ligand complexes (protease-SDS and protease-tween complexes) were used in MD simulation, performed using GROMACS v 4.6.5 with CHARMM36 all-atom force field. The CGenFF server (https://cgenff.umaryland.edu/) provides topologies and parameters of ligands compatible with the CHARMM36 all-atoms force field. Protein and protein-ligand complexes were soaked in a cubic box of water molecules, and the charges on the protein were neutralized by the addition of Na+ and Cl- ions. The energy of the system was minimised using the steepest descent algorithm to eliminate bad contact and clashes. The NVT and NPT ensembles were used during the equilibration to achieve the desired temperature (373.15 K for protease and 300 K for protease-ligand complex) and pressure (1 bar) for 100 ps and restraint forces of 1000 kJ/mol. Finally, 40 ns MD run were performed in triplicate after releasing all restraints. All bonds were constrained by the LINCS algorithm. Tarrahimofrad H, Meimandipour A, Arjmand S, Nassiri MB, Jahangirian E, Tavana H, Zamani J, Rahimnahal S, Aminzadeh S (2020) Structural and biochemical characterization of a novel thermophilic Coh01147 protease. PLoS ONE 15(6): e0234958. doi: 10.1371/journal.pone.0234958 Bioprocess engineering group, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran, Bioprocess engineering group, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran, Protein Research Center, Shahid Beheshti University, G. C., Tehran, Iran, Department of Animal Science and Food Technology, Agriculture Science and Natural Resources University Khouzestan, Ahwaz, Iran, Bioprocess engineering group, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran, Department of Biomedical Engineering, The University of Akron, Akron, OH 44325, USA, Bioprocess engineering group, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran, Bioprocess engineering group, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran, Bioprocess engineering group, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran https://doi.org/10.1371/journal.pone.0234958 1 2020 Hossein Tarrahimofrad, Amir Meimandipour, Sareh Arjmand, Mohammadtaghi Beigi Nassiri, Ehsan Jahangirian, Hossein Tavana, Javad Zamani, Somayyeh Rahimnahal, Saeed Aminzadeh 2020. Molecular dynamics simulation (Protein-Ligand). protocols.io https://dx.doi.org/10.17504/protocols.io.bgcajsse 2021-04-15 09:14:37

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