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Disambiguation of "Ballester, Pedro J."

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A Stochastic Spiking Neural Network for Virtual Screening.

, , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (4): 1371-1375 (2018)

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Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Francisco Pedrosa Gil

 

Other publications of authors with the same name

The Importance of the Regression Model in the Structure-Based Prediction of Protein-Ligand Binding., , , and . CIBB, volume 8623 of Lecture Notes in Computer Science, page 219-230. Springer, (2014)An Effective Real-Parameter Genetic Algorithm with Parent Centric Normal Crossover for Multimodal Optimisation., and . GECCO (1), volume 3102 of Lecture Notes in Computer Science, page 901-913. Springer, (2004)Our calibrated model has poor predictive value: An example from the petroleum industry., , , and . Reliab. Eng. Syst. Saf., 91 (10-11): 1373-1381 (2006)Ultrafast shape recognition to search compound databases for similar molecular shapes., and . J. Comput. Chem., 28 (10): 1711-1723 (2007)The Use of Random Forest to Predict Binding Affinity in Docking., , , and . IWBBIO (2), volume 9044 of Lecture Notes in Computer Science, page 238-247. Springer, (2015)Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors., , , and . J. Cheminformatics, 16 (1): 40 (December 2024)Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties, , , , , , and . CoRR, (2012)A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling., , , and . Briefings Bioinform., (2021)Model calibration of a real petroleum reservoir using a parallel real-coded genetic algorithm., and . IEEE Congress on Evolutionary Computation, page 4313-4320. IEEE, (2007)Does a More Precise Chemical Description of Protein–Ligand Complexes Lead to More Accurate Prediction of Binding Affinity?, , and . Journal of Chemical Information and Modeling, 54 (3): 944-955 (2014)PMID: 24528282.