PyMOL

Stunning high-performance molecular graphics for communicating structural results

An Industry Leader in 3D Molecular Visualization

Tens of thousands of scientists worldwide choose PyMOL to view, share, and analyze their molecular data. In addition to being lightweight and fast, PyMOL can create images of peerless visualization quality, while offering the flexibility of Python-based development and scalability. Competitively priced and available for academic, non-profit, government, and commercial applications, PyMOL leads the way in molecular visualization.

Created by Scientists for Scientists

Contemporary science is collaborative. To help scientists from different disciplines seamlessly work together, PyMOL interprets over 30 different file formats and its own format is supported on Windows, Mac, Linux, and iPad. With AxPyMOL users can insert fully interactive molecular data into their presentations making it easy to share results and concepts that a simple 2D figure cannot. Affirming its high-regard among scientists, PyMOL-generated images have graced countless covers of top-tier journals.

Create 3D Images and Movies with Ease

Complex visualization tasks that previously required expert knowledge now only require a few mouse clicks. PyMOL's straightforward graphical user interface allows first-time and expert users alike to create stunning 3D visualizations from their favorite file formats. Users can quickly and easily create movies that fly through a molecular landscape, elegantly depict protein structure morphing, and animate ensembles and trajectories.

First Class Support, First Class Community

The PyMOL support team offers technical support, printed tutorials, and screencasts for commercial users. For those who prefer to learn from an expert instead, classroom-style training is available worldwide. PyMOL also has over 100,000 active users with community-sponsored support available on the popular PyMOLWiki and pymol-users email list.

Citations and Acknowledgements

For instructions on citing PyMOL, please visit www.pymol.org/citing

"Structural basis for strychnine activation of human bitter taste receptor TAS2R46"

Weixiu Xu, Lijie Wu, Shenhui Liu, Xiao Liu, Xiaoling Cao, Cui Zhou, Jinyi Zhang, You Fu, Yu Guo, Yiran Wu, Qiwen Tan, Ling Wang, Junlin Liu, Longquan Jiang, Zhongbo Fan, Yuan Pei, Jingyi Yu, Jianjun Cheng, Suwen Zhao, Xiaojiang Hao, Zhi-Jie Liu, Tian Hua, Science, 2022, 377(6612), 1298-1304

"Best Practices of Computer-Aided Drug Discovery: Lessons Learned from the Development of a Preclinical Candidate for Prostate Cancer with a New Mechanism of Action"

Ban, F.; Dalal, K.; Li, H.; LeBlanc, E.; Rennie, P.S.; Cherkasov, A., J. Chem. Inf. Model., 2017, 57(5), 1018–1028

· "Predicting Binding Affinities for GPCR Ligands Using Free-Energy Perturbation"

Lenselink, E.B.; Louvel, J.; Forti, A.F.; van Veldhoven, J.P.D.; de Vries, H.; Mulder-Krieger, T.; McRobb, F.M.; Negri, A.; Goose, J.; Abel, R.; van Vlijmen, H.W.T.; Wang, L.; Harder, E.; Sherman, W.; IJzerman, A.P.; Beuming, T., ACS Omega, 2016, 1, 293-304
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