These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
24. Equation-oriented specification of neural models for simulations. Stimberg M; Goodman DF; Benichoux V; Brette R Front Neuroinform; 2014; 8():6. PubMed ID: 24550820 [TBL] [Abstract][Full Text] [Related]
25. eTOXlab, an open source modeling framework for implementing predictive models in production environments. Carrió P; López O; Sanz F; Pastor M J Cheminform; 2015; 7():8. PubMed ID: 25774224 [TBL] [Abstract][Full Text] [Related]
26. Integrated workflows for spiking neuronal network simulations. Antolík J; Davison AP Front Neuroinform; 2013; 7():34. PubMed ID: 24368902 [TBL] [Abstract][Full Text] [Related]
27. Enabling grand-canonical Monte Carlo: extending the flexibility of GROMACS through the GromPy python interface module. Pool R; Heringa J; Hoefling M; Schulz R; Smith JC; Feenstra KA J Comput Chem; 2012 May; 33(12):1207-14. PubMed ID: 22370965 [TBL] [Abstract][Full Text] [Related]
28. Python scripting in the nengo simulator. Stewart TC; Tripp B; Eliasmith C Front Neuroinform; 2009; 3():7. PubMed ID: 19352442 [TBL] [Abstract][Full Text] [Related]
29. DJMol: An open-source modeling platform for computational chemistry and materials science with a Python interpreter. G Prasanna K; Sunil R; Gupta K; Lee SC J Comput Chem; 2021 Nov; 42(29):2116-2129. PubMed ID: 34406662 [TBL] [Abstract][Full Text] [Related]
30. MDAnalysis: a toolkit for the analysis of molecular dynamics simulations. Michaud-Agrawal N; Denning EJ; Woolf TB; Beckstein O J Comput Chem; 2011 Jul; 32(10):2319-27. PubMed ID: 21500218 [TBL] [Abstract][Full Text] [Related]
31. NEURON and Python. Hines ML; Davison AP; Muller E Front Neuroinform; 2009; 3():1. PubMed ID: 19198661 [TBL] [Abstract][Full Text] [Related]
32. Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. Djurfeldt M; Davison AP; Eppler JM Front Neuroinform; 2014; 8():43. PubMed ID: 24795620 [TBL] [Abstract][Full Text] [Related]
33. Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. Vieth M; Rahimi A; Gorgan Mohammadi A; Triesch J; Ganjtabesh M Front Neuroinform; 2024; 18():1331220. PubMed ID: 38444756 [TBL] [Abstract][Full Text] [Related]
35. Pytim: A python package for the interfacial analysis of molecular simulations. Sega M; Hantal G; Fábián B; Jedlovszky P J Comput Chem; 2018 Sep; 39(25):2118-2125. PubMed ID: 30306571 [TBL] [Abstract][Full Text] [Related]
36. GillesPy: A Python Package for Stochastic Model Building and Simulation. Abel JH; Drawert B; Hellander A; Petzold LR IEEE Life Sci Lett; 2016 Sep; 2(3):35-38. PubMed ID: 28630888 [TBL] [Abstract][Full Text] [Related]
37. The Ensemble/Legacy Chimera extension: standardized user and programmer interface to molecular Ensemble data and Legacy modeling programs. Konerding DE Pac Symp Biocomput; 2000; ():254-65. PubMed ID: 10902174 [TBL] [Abstract][Full Text] [Related]
38. Component-oriented acausal modeling of the dynamical systems in Python language on the example of the model of the sucker rod string. Kopei VB; Onysko OR; Panchuk VG PeerJ Comput Sci; 2019; 5():e227. PubMed ID: 33816880 [TBL] [Abstract][Full Text] [Related]
39. An FPGA-Based Massively Parallel Neuromorphic Cortex Simulator. Wang RM; Thakur CS; van Schaik A Front Neurosci; 2018; 12():213. PubMed ID: 29692702 [TBL] [Abstract][Full Text] [Related]
40. GPUPeP: Parallel Enzymatic Numerical P System simulator with a Python-based interface. Raghavan S; Rai SS; Rohit MP; Chandrasekaran K Biosystems; 2020 Oct; 196():104186. PubMed ID: 32535178 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]