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Pymol molecular graphics system version 1

Manufactured by Schrödinger
428 citations
Sourced in United States, United Kingdom
About the product

PyMOL Molecular Graphics System, Version 1.8 is a software tool for visualizing and analyzing molecular structures. It provides a three-dimensional (3D) representation of molecules, allowing users to explore and understand the spatial arrangement of atoms and bonds within a molecule.

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Market Availability & Pricing

The PyMOL Molecular Graphics System version 1, developed by Schrödinger, has been officially discontinued. Support for version 1.3r1 ended in August 2013, with legacy status concluding in August 2014. While version 1 may still be available through second-hand marketplaces, it is no longer supported by the manufacturer. Users are encouraged to consider the latest version, PyMOL 3, which offers enhanced features and support.

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428 protocols using «pymol molecular graphics system version 1»

1

Structural Analysis of Thermostable Enzymes

2025
Three–dimensional (3D) structures of endoglucanase (PDB codes: 3AMH and 3AMM, Cheng et al., 2011 (link)) and β-glucosidase (PDB codes: 1UZ1, Vincent et al., 2004 (link); 2CBU, Gloster, Madsen & Davies, 2006 (link); 2WBG, Aguilar-Moncayo et al., 2009 (link)) from T. maritima were accessed from the Protein Data Bank (PDB) (Berman et al., 2000 (link)). Structural features relevant to thermostability of the afore-mentioned enzymes were compared with that found in homologous structures from thermophilic and mesophilic organisms. PyMOL (The PyMOL Molecular Graphics System, Version 1.3, Schrödinger, LLC) was used for visualizing 3D structures.
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2

Structural Analysis of TLR2 and TLR4 Interactions

2025
Crystallographic structures of TLR2 (PDB ID: 53di) and TLR4 (PDB ID: 7mlm) receptors were retrieved from the PDB database (https://www.rcsb.org). After removal of ligands and water molecules, hydrogen atoms and charges were added to both receptors and the unadjuvanted anted proteins structure using the Dock prep tool in UCSF Chimera (Chimera 1.5.3) software64 (link). TLR2 and TLR4 are important receptors of the immune system to fight K. pneumoniae. Important amino acids in the active site of TLR2 include Leu317, Ile319, Phe322, Leu324, Phe325, Tyr326, Val348, Phe349, and Pro35265 (link). Other important amino acids in theactive site of the TLR4 receptor include Arg434, Ser413, Ser386, Arg380, Lys341, Lys263, and Gln33966 (link). Designed protein interaction and TLR2 and TLR4 of the immune system using the Cluspro2 server. (https://cluspro.bu.edu/home.php)67 (link). The PRODIGY web server was also used to predict the binding energy of the protein complexes. This server focuses on prediction of binding affinity in biological complexes and identification of biological interfaces68 (link). Finally, residues involved in vaccine-receptor interactions were visualized using PyMOL (The PyMOL Molecular Graphics System, Version 1.1, Schrödinger, LLC) and mapped using the PDBsum generate web server (https://www.ebi.ac.uk/thornton-srv/databases/pdbsum/Generate.html)69 (link).
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3

SARS-CoV-2 ORF 3a Structure Visualization

2024
The data acquisition and analysis were performed using the pCLAMP10 software (Axon Instruments), and statistical analysis and visualization were done using Prism 10 (GraphPad Software, La Jolla, CA, USA). Visualization of the SARS-CoV-2 ORF 3a 3D cryo-electron microscopy structure recently revealed by Kern et al.22 (link) (PDB-ID:6XDC) was performed using the PyMOL Molecular Graphics System, Version 1.8 (Schrödinger LLC, Cambridge, MA, USA). Data are presented as the mean ± standard error of the mean (SEM). Statistical comparisons were made using paired and unpaired Student’s t-tests, with a significance level of P < 0.05. The Bonferroni method was used to correct for multiple comparisons.
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4

Crystallization and Structural Determination of WT KHK-A

2024
Crystals of WT KHK-A were grown by sitting-drop vapor diffusion in a mixture of 19% PEG1500, 0.2 M NH4SO4, 5 mM CoCl2, and 0.1 M sodium citrate, pH 4.2, at 18 °C. The crystals reached a size of approximately 100 μm within one to two days. Diffraction data were collected on a Rigaku FR-E with a Rigaku RAXIS image plate at a wavelength of 1.5418 Å and processed using the HKL2000 suite (75 (link)). The crystal structure was solved using Phaser (https://www.ccp4.ac.uk/html/phaser.html) in the CCP4 program suite and the molecular replacement method. The structure was refined using REFMAC5. The treatment for the B-factors was isotropic, and the dimer was in the asymmetric unit. The model was deposited with PDB code 2HLZ. Structural figures were prepared using the PyMOL Molecular Graphics System version 1.8 (Schrödinger LLC, https://pymol.org/).
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5

Structural Insights into Histone Chaperone

2024
Chz1 and H2A.Z/H2B fusion structures were used from 2JSS [16 (link)], the structure of budding yeast chaperone Chz1 complexed with fusion histone H2A.Z-H2B. H2A/H2B dimer structure was used from 1ID3 [29 (link)], the yeast nucleosome particle. Figures have been made using PyMOL program (The PyMOL Molecular Graphics System, Version 1.3 Schrödinger, LLC.), http://www.pymol.org/ (accessed on 15 March 2023). The structures were superimposed using alignment of H2B region identical in both structures.
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Corresponding organizations : Université de Strasbourg, Centre National de la Recherche Scientifique, Institut de génétique et de biologie moléculaire et cellulaire, Inserm, King Abdulaziz University

Top 5 most cited protocols using «pymol molecular graphics system version 1»

1

Prolactin Receptor Mutations and JAK2-STAT5 Signaling

Mutations were introduced by means of site-directed mutagenesis into the pdEYFP–PRLR construct (Source Bioscience), which expresses the normal prolactin receptor, and human embryonic kidney 293 (HEK293) cells transiently transfected with nonmutant or mutant PRLR constructs. Phosphorylated JAK2–STAT5 was assessed by means of Western blot analysis and a STAT5-amplified luminescence proximity homogeneous assay (Alpha-Screen, PerkinElmer), and STAT5-dependent gene expression was studied with the use of the cytokine-inducible SRC homology 2 domain protein (CISH) pGL4.10 reporter vector and dual luciferase reporter assay, as described previously.16 (link) Protein sequence alignments and three-dimensional modeling were performed with the use of ClustalW software and the PyMOL Molecular Graphics System, version 1.6 (Schrödinger), respectively. T cells were evaluated from four patients and five normal controls.
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Corresponding organizations : Glasgow Royal Infirmary, University of Oxford, Medawar Building for Pathogen Research

2

Structural Analysis of Pks13-TE Domain

The structure of the Pks13-TE domain was solved by molecular replacement method (MR) using E. coli EntF (PDB: 3tej) structure, as search model. A single MR solution was obtained using Phenix AutoMR (Adams et al., 2010 (link)) which was input into the AutoBuild wizard to generate the initial model for apo-Pks13-TE. The initial model was improved by further manual rebuilding in COOT (Emsley and Cowtan, 2004 (link)). The final model was obtained after iterative cycles of model building and Phenix refinement with simulated annealing yielding a 1.72 Å resolution apo-Pks13-TE model with Rcryst of 16.9% and an Rfree of 20.1% with good stereochemistry (Table S2). The final refined apo-model has two chains, designated A and B, a fragment of additive PPG P400 and 471 water molecules in the asymmetric unit. The crystal structures Pks13-TE-inhibitor complex structures, as well as the D1607N mutant structures were refined with simulated annealing (start temperature 5000 K, Phenix). Inspection of electron density maps showed clear |Fo-Fc| positive difference density for the ligands which were fit into the density using Ligandfit routine in Phenix (Terwilliger et al., 2006 (link)). The ligand model and geometry restraint files were created in ELBOW BUILDER of the Phenix suite (Moriarty et al., 2009 (link)). Iterative cycles of model building and NCS-restrained maximum likelihood refinement with simulated annealing yielded high quality models for Pks13-TE-inhibitor complexes (Tables S2 and S3). In all of the structures > 98% of residues are placed in the favored region of the Ramachandran plot (MolProbity, Chen et al., 2010 (link)). Figures of the structures were made with UCSF Chimera package (Pettersen et al., 2004 (link)) and PyMOL Molecular Graphics System version 1.4.1 (Schrodinger, LLC). Structural analysis of Apo Pks13-TE for the identification of tunnels and channels was done using CAVER 3.0 PyMol plugin (Chovancova et al., 2012 (link)). Electrostatic surface potentials were calculated using APBS (Baker et al., 2001 (link)) and displayed using the APBS plugin for PyMOL. Atomic coordinates and structure factors for the reported crystal structures (Tables S2 and S3) have been deposited with the Protein Data Bank under accession codes: PDB: 5V3W (Apo Pks13-TE), PDB: 5V3X (Pks13-TE:TAM1), PDB: 5V3Y (Pks13-TE:TAM16), PDB: 5V3Z (Pks13-TE(D1607N)), PDB: 5V40 (Pks13-TE:TAM6), PDB: 5V41 (Pks13-TE:TAM5), and PDB: 5V42 (Pks13-TE:TAM3).
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Corresponding organizations : Texas A&M University, Colorado State University, Johns Hopkins Medicine, Johns Hopkins University, Harvard University, Discovery Centre, University of Dundee, Stellenbosch University, University of Zurich

3

Exome Sequencing and Variant Analysis Protocol

The study was done in accordance with regulations for studies on human subjects of the hospitals in Lausanne, Seoul, and Rancagua. In addition, approvals from the IRB of the Seoul National Hospital, and of the Ethics Commission of the Lausanne University Hospital, were obtained. Peripheral blood was obtained with informed consent from the patients and their parents and genomic DNA was extracted by routine methods. Fragmented genomic DNA was purified with AMPure XP beads and the quality of the fragmented DNA was assessed with an Agilent Bioanalyzer. Preparation of the exome enriched, barcoded sequencing libraries was perfomed using Agilent SureSelect Human All Exon v4 kit. The final libraries were quantified with a Qubit Fluorometer (Life Technologies) and the correct size distribution was validated with an Agilent Bioanalyzer. Libraries were sequenced on Illumina HiSeq 2000, generating 100 bp paired-end reads. Raw reads were aligned onto the hg19 reference genome with Novoalign (http://www.novocraft.com) and the data cleanup and variant calling were performed according to GATK Best Practices recommendations29 . Variant filtering was made with Annovar30 (link) and with own perl and bash scripts (available on request). Variants identified by this procedure were verified by direct PCR amplification of target exons from genomic DNA and bidirectional Sanger sequencing. A molecular model for the full-length human HSPA9 protein was generated with I-TASSER31 (link). Figures were generated in the PyMOL Molecular Graphics System, Version 1.7.4 (Schrödinger, LLC).
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Corresponding organizations : University of Lausanne, Clínica Alemana, University of Chile, Hospital Regional Rancagua, Seoul National University Children's Hospital, Seoul National University, CeMM Research Center for Molecular Medicine, Austrian Academy of Sciences

4

Cryo-EM Structural Modeling of 80S Ribosome

The crystal structure of the S.c. (Protein Data Bank [PDB]: 5NDG) the human cryo-EM structures (PDB: 6EK0 and 4V6X) [20 (link)], and the human EBP1 crystal structure (PDB: 2Q8K) [36 (link)] were used as initial models to build the 80S ribosomes and EBP1, respectively. In general, the ribosome/EBP1 models were rigid-body fitted into our cryo-EM maps in Chimera [61 (link)], followed by manually adjusting in Coot according to the densities [62 (link)].
Because of the flexibility, the C-termini of both Lso2 and CCDC124 and the N-terminus of CCDC124 are missing in our final model, but all the other regions were de novo built in Coot. A homology model of the human eEF2 was generated using Swiss-Model server [63 (link)] based on the Sus scrofa model (PDB: 3J7P) [64 (link)]. The human SERBP1 model was adjusted from human ribosome structure (PDB: 4V6X) [20 (link)].
All the final models (S2, S5 Figs and S1 Table) were real-space refined with secondary structure restraints using the PHENIX suite [65 (link)], and the final model evaluation was performed with MolProbity [66 (link)]. Maps and models were visualized and figures created with the PyMOL Molecular Graphics System (Version 1.7.4, Schrödinger, LLC) and ChimeraX [67 (link)].
Standard model-to-map validations were performed according to [68 (link)] to ensure that models are not overfitted.
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Corresponding organizations : Ludwig-Maximilians-Universität München, Center for Integrated Protein Science Munich, Yale University

5

Adaptive Biasing Potential Simulation of CBX7+H3K9me3

Adaptive biasing potential35 was implemented in GROMACS 4.5.551 (link). The bias parameters were b=0.8, c=0.0005/δt, where δt=2 fs is the molecular dynamics time step. The Gaussian width was 1/4 Angstrom. This choice of bias parameters floods stable states extremely slowly, to minimize adaptation of the bias near transition states. Thus, one may argue for approximate state-to-state dynamics as has recently been done for metadynamics52 (link) following the principles of hyperdynamics53 . Using the first frame of the CBX7+H3K9me3 NMR structure, two collective variables were defined: RMSD of clasp, and RMSD of peptide. We used the Kabsch algorithm to align the reference and trajectory during the simulation. All simulations were performed in a cubic box with a minimum of 12 Angstroms between the protein or peptide and the nearest cube face, resulting in 23710 atoms after adding water and salt. System construction included 5 nsec of isothermal–isobaric equilibration at 1 bar. Production simulations were carried out in the canonical ensemble with stochastic velocity rescaling54 (link). Van der Waals and direct electrostatic interactions used a 10 Å cutoff. Long-range electrostatics were treated with the particle mesh Ewald approach with a grid spacing of 1.6 Å. The neighbor list was updated every five steps. We ran five 128 ns simulations to get some intuition that could inform ligand design. All images from the simulations were rendered using the PyMOL Molecular Graphics System, Version 1.7.4 Schrödinger, LLC.
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Corresponding organizations : University of North Carolina at Chapel Hill, Structural Genomics Consortium, University of Toronto, The University of Texas MD Anderson Cancer Center, National Institute of Mental Health

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