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Perfil investigador
Esp
Dr. Pedro Pablo González Pérez

Professor
Departament of Applied Mathematics and Systems

Division of Natural Sciences and Engineering


Level 1
Member of the National System of Researchers
(SNII)

Physics-Mathematics and Earth Sciences



Cuajimalpa Campus

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Sustainable Development Goals

• 3 Good Health and Well-Being

• 4 Quality Education

• 17 Partnerships


Research interests

• Bioinformatics and Computational Biology: theories and development of bioinformatics tools
• Modeling and simulation of biological systems and phenomena: cell signaling networks, in silico exploration and in vitro evaluation
• Modeling and simulation of biological systems and phenomena: protein folding, molecular design and foldamers
• Artificial neural networks: Generative Adversarial Networks (GAN) for data augmentation
• Synthetic data and big data: data farming from in silico experimentation

Profile

Dr. Pedro Pablo González Pérez is a Full-Time Full Professor at the Department of Applied Mathematics and Systems of the Natural Sciences and Engineering Division at the Cuajimalpa Campus of the Universidad Autónoma Metropolitana.



Information provided by the academic staff

Research interests

• Bioinformatics and Computational Biology: theories and development of bioinformatics tools
• Modeling and simulation of biological systems and phenomena: cell signaling networks, in silico exploration and in vitro evaluation
• Modeling and simulation of biological systems and phenomena: protein folding, molecular design and foldamers
• Artificial neural networks: Generative Adversarial Networks (GAN) for data augmentation
• Synthetic data and big data: data farming from in silico experimentation

Academic Work

On the following pages you can consult the research work:



Other sites of interest

Consult the research work on other websites:






Some examples of publications

Select the bibliographic reference to consult each publication:


Open Access References UN SDGs
Pérez-Pérez, L.F., Guerrero-Luna, G., Mendoza-Montalvo, A. and 7 more (...) (2026).Novel heterosteroids induce anabolic effects in human skeletal muscle cells: An integrated analysis of anabolic and catabolic signaling pathways. Steroids,226
OASagaceta-Mejía, A.R., González-Pérez, P.P., Fresán-Figueroa, J. and 1 more (...) (2025).Enhancing Predictive Accuracy in Medical Data Through Oversampling and Interpolation Techniques. Mathematics,13(24)
OASánchez-Gutiérrez, M.E., González-Pérez, P.P. (2023).Addressing the class imbalance in tabular datasets from a generative adversarial network approach in supervised machine learning. Journal of Algorithms and Computational Technology,17| 3 |
González-Pérez, P.P., Sánchez-Gutiérrez, M.E. (2022).Improving the accuracy of multiclass classification in machine learning: A case study in a cell signaling dataset. Intelligent Data Analysis,26(2) 481-500| 3 |
OAOrtiz-González, A., González-Pérez, P.P., Cárdenas-García, M. and 1 more (...) (2022).In silico Prediction on the PI3K/AKT/mTOR Pathway of the Antiproliferative Effect of O. joconostle in Breast Cancer Models. Cancer Informatics,21| 3 |
OASánchez-Gutiérrez, M.E., González-Pérez, P.P. (2022).Multi-Class Classification of Medical Data Based on Neural Network Pruning and Information-Entropy Measures. Entropy,24(2) | 3 |
OASánchez-Gutiérrez, M.E., González-Pérez, P.P. (2022).Modeling and Simulation of Cell Signaling Networks for Subsequent Analytics Processes Using Big Data and Machine Learning. Bioinformatics and Biology Insights,16| 3 |
Beltrán, H.I., Alas-Guardado, S.J., González-Pérez, P.P. (2022).Improving coarse-grained models of protein folding through weighting of polar-polar/hydrophobic-hydrophobic interactions into crowded spaces. Journal of Molecular Modeling,28(4)
OAAlas-Guardado, S.J., González-Pérez, P.P., Beltrán, H.I. (2021).Contributions of topological polar-polar contacts to achieve better folding stability of 2D/3D HP lattice proteins: An in silico approach. AIMS Biophysics,8(3) 291-306
Sánchez-Gutiérrez, M.E., González-Pérez, P.P. (2020).Discriminative neural network pruning in a multiclass environment: A case study in spoken emotion recognition. Speech Communication,12020-30

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Courses taught by the professor in recent trimesters

*Courses are conducted in spanish

Num.Trim.Course NameLevel
1
25I
Proyecto de Ingeniería de Software IILicenciatura
2
24O
Desarrollo de Software a Gran EscalaLicenciatura
3
24O
Proyecto Terminal IIILicenciatura
4
24P
Proyecto Terminal IILicenciatura
5
24I
Proyecto de Ingeniería de Software ILicenciatura
6
24I
Proyecto de Ingeniería de Software IILicenciatura
7
24I
Proyecto Terminal ILicenciatura
8
23O
Proyecto Terminal IIILicenciatura
9
23O
Datos a Gran EscalaLicenciatura
10
23O
Fundamentos de Ingeniería de SoftwareLicenciatura
11
23O
Tópicos Especiales de Sistemas ComputacionalesLicenciatura
12
23I
Proyecto de Ingeniería de Software ILicenciatura
13
23I
Proyecto Terminal IIILicenciatura
14
23I
Proyecto de Ingeniería de Software IILicenciatura
15
22O
Fundamentos de Ingeniería de SoftwareLicenciatura
16
22O
Desarrollo de Software a Gran EscalaLicenciatura
17
22O
Proyecto Terminal IILicenciatura
18
22P
Tópicos Especiales de Sistemas ComputacionalesLicenciatura
19
22P
Proyecto Terminal ILicenciatura
20
22P
Datos a Gran EscalaLicenciatura
21
22I
Proyecto de Ingeniería de Software ILicenciatura
22
22I
Proyecto de Ingeniería de Software IILicenciatura
23
22I
Proyecto Terminal IIILicenciatura
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Universidad Autónoma Metropolitana, 2025.