PyMOL

PyMOL is a powerful and comprehensive molecular visualization product for rendering and animating 3D molecular structures.

Keywords for this software

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References in zbMATH (referenced in 38 articles )

Showing results 1 to 20 of 38.
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  1. Tanwer, Pooja; Kolora, Sree Rohit Raj; Babbar, Anshu; Saluja, Daman; Chaudhry, Uma: Identification of potential therapeutic targets in \textitNeisseriagonorrhoeae by an \textitin-silico approach (2020)
  2. Teixeira, J. M.: taurenmd: A command-line interface for analysis of Molecular Dynamics simulations (2020) not zbMATH
  3. Hou, Yanzhen; Niemi, Antti J.; Peng, Xubiao; Ilieva, Nevena: Myoglobin ligand gate mechanism analysis by a novel 3D visualization technique (2019)
  4. Saravanan, Kandasamy; Kumaradhas, Poomani: Acylguanidine-BACE1 complex: insights of intermolecular interactions and dynamics (2019)
  5. Barbeau, X., Vincent, A.T. , Lagüe, P.: ConfBuster: Open-Source Tools for Macrocycle Conformational Search and Analysis (2018) not zbMATH
  6. Mezei, Mihaly: Revisiting chameleon sequences in the protein data bank (2018)
  7. Tahir, Rana Adnan; Wu, Hao; Rizwan, Muhammad Ahmad; Jafar, Tassadaq Hussain; Saleem, Shahzad; Sehgal, Sheikh Arslan: Immunoinformatics and molecular docking studies reveal potential epitope-based peptide vaccine against DENV-NS3 protein (2018)
  8. Carr, Hamish (ed.); Garth, Christoph (ed.); Weinkauf, Tino (ed.): Topological methods in data analysis and visualization IV. Theory, algorithms, and applications. Selected papers based on the presentations at the TopoInVis workshop, Annweiler, Germany, 2015 (2017)
  9. Michael E. Fortunato, Coray M. Colina: pysimm: A python package for simulation of molecular systems (2017) not zbMATH
  10. Shivashankar, Nithin; Natarajan, Vijay: Efficient software for programmable visual analysis using Morse-Smale complexes (2017)
  11. Berk Ekmekci, Charles E. McAnany, Cameron Mura: An Introduction to Programming for Bioscientists: A Python-based Primer (2016) arXiv
  12. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  13. Linsen, Lars (ed.); Hamann, Bernd (ed.); Hege, Hans-Christian (ed.): Visualization in medicine and life sciences III. Towards making an impact. Selected papers based on the presentations at the third international workshop, VMLS, Leipzig, Germany, June 16--18, 2013 (2016)
  14. Schütte, Christof; Koltai, Péter; Klus, Stefan: On the numerical approximation of the Perron-Frobenius and Koopman operator (2016)
  15. Simon Mitternacht: FreeSASA: An open source C library for solvent accessible surface area calculations (2016) arXiv
  16. García-Martínez, J. M.; Garzón, E. M.; Cecilia, J. M.; Pérez-Sánchez, H.; Ortigosa, P. M.: An efficient approach for solving the HP protein folding problem based on UEGO (2015)
  17. Jiang, Yi; Xie, Yang; Ying, Jinyong; Xie, Dexuan; Yu, Zeyun: SDPBS web server for calculation of electrostatics of ionic solvated biomolecules (2015)
  18. Fan, Haifu; Gu, Yuanxin; He, Yao; Lin, Zhengjiong; Wang, Jiawei; Yao, Deqiang; Zhang, Tao: Applications of direct methods in protein crystallography for dealing with diffraction data down to 5 Å resolution (2014)
  19. Shinde, Sonali; Mol, Milsee; Jamdar, Virashree; Singh, Shailza: Molecular modeling and molecular dynamics simulations of GPI 14 in \textitLeishmaniamajor: insight into the catalytic site for active site directed drug design (2014)
  20. Zok, Tomasz; Popenda, Mariusz; Szachniuk, Marta: MCQ4Structures to compute similarity of molecule structures (2014)

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