Programa de Pós Graduação em Física (PPGF)

Capítulos de livros publicados


Número total de itens: 50

2026

1.   DA SILVA, AMAURI DUARTE ; Baud, Stéphanie ; de Azevedo, Walter Filgueira. Exploring the Scoring Function Space with Lasso Regression. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 19-34.
2.   DA SILVA, AMAURI DUARTE ; DA SILVEIRA, NELSON JOSÉ FREITAS ; Oliveira, Patrícia Rufino ; de Azevedo, Walter Filgueira. Molegro Data Modeller for Machine Learning. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 153-166.
3.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Elastic Net Regression to Predict CDK2 Inhibition. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 51-64.
4.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Gradient Descent to Predict Enzyme Inhibition. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 65-79.
5.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Decision Tree for Prediction of Binding Affinity. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 81-95.
6.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Calculating Enzyme Inhibition with Random Forests. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 97-110.
7.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Extremely Randomized Trees to Determine Binding Affinity. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 111-123.
8.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Neural Networks with Molegro Data Modeller. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 167-181.
9.   DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. AlphaFold for Docking Screens. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 183-196.
10.   DA SILVA, AMAURI DUARTE ; RUSSO, SILVANA ; GONZÁLEZ-VERGARA, ENRIQUE ; de Azevedo, Walter Filgueira. Differential Evolution for Docking Simulations. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 197-210.
11.   DA SILVA, AMAURI DUARTE ; Veit-Acosta, Martina ; TARASOVA, OLGA ; de Azevedo, Walter Filgueira. A Primer on SAnDReS 2.0 for Scoring Function Design. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 1-17.
12.   de Azevedo, Walter Filgueira. CDK7 as a Target for Docking Screens. In: Walter Filgueira de Azevedo Jr. (Org.). Methods in Molecular Biology. 2ed.New York. Em: . : Springer US. 2026.v. 2984, p. 243-258.
13.   de Azevedo, Walter Filgueira. Machine Learning to Predict CDK4 Inhibition. In: Walter Filgueira de Azevedo Jr. (Org.). Methods in Molecular Biology. 2ed.New York. Em: . : Springer US. 2026.v. 2984, p. 211-225.
14.   de Azevedo, Walter Filgueira. Molegro Data Modeller to Estimate CDK6 Inhibition. In: Walter Filgueira de Azevedo Jr. (Org.). Methods in Molecular Biology. 2ed.New York. Em: . : Springer US. 2026.v. 2984, p. 259-275.
15.   de Azevedo, Walter Filgueira. Neural Networks to Calculate CDK2 Inhibition. In: Walter Filgueira de Azevedo Jr. (Org.). Methods in Molecular Biology. 2ed.New York. Em: . : Springer US. 2026.v. 2984, p. 277-293.
16.   de Azevedo, Walter Filgueira. Targeting CDK9 with Molegro Virtual Docker. In: Walter Filgueira de Azevedo Jr. (Org.). Methods in Molecular Biology. 2ed.New York. Em: . : Springer US. 2026.v. 2984, p. 227-242.
17.   de Azevedo, Walter Filgueira. Tree-Based Methods to Predict Enzyme Inhibition. In: Walter Filgueira de Azevedo Jr. (Org.). Methods in Molecular Biology. 2ed.New York. Em: . : Springer US. 2026.v. 2984, p. 295-311.
18.   Dere, Damla ; Pehlivan, Sema Nur ; DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Hands-On Docking with Molegro Virtual Docker. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 125-138.
19.   Oliveira, Josimary Morais Vasconcelos ; DA SILVA, AMAURI DUARTE ; Soares, Alexandra Martins Dos Santos ; de Azevedo, Walter Filgueira. Molegro Virtual Docker for Docking Screens. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. 2026.v. 2984, p. 139-152.
20.   Pehlivan, Sema Nur ; DA SILVA, AMAURI DUARTE ; de Azevedo, Walter Filgueira. Combining MVD and Ridge Method to Predict CDK2 Inhibition. Em: Walter Filgueira de Azevedo Jr.. (Org.). Methods in Molecular Biology. 2ed.New York. : Springer US. 2026.v. 2984, p. 35-49.

2024

1.   CUZINATTO, R. R.; DE MORAIS, E. M. ; PIMENTEL, B. M.. Scalar-tensor gravity in Lyra geometry. Em: F. Caruso; J.G. Pereira; A. Santoro (editors). (Org.). Tribute to Ruben Aldrovandi. 1ed.São Paulo. : Editora Livraria da Física. 2024.p. 105-120.
2.   CUZINATTO, R. R.; MEDEIROS, L. G.. Inflationary dynamics in modified gravity models. Em: F. Caruso; J.G. Pereira; A. Santoro (editors). (Org.). Tribute to Ruben Aldrovandi. 1ed.São Paulo. : Editora Livraria da Física. 2024.p. 135-151.

2022

1.   G. A. Valdiviesso; SHARP, J. ; MATOS, M. M.. ACADEMIC BOREDOM AND STUDENT ENGAGEMENT. Em: Amanda Rezende Costa Xavier; Edna de Oliveira; Luciana Maria Oliveira Ribeiro. (Org.). Caderno de Formação Pedagógica 2º Volume. 1ed.Alfenas-MG. : Editora Universidade Federal de Alfenas. 2022.v. 2, p. 88-117.

2021

1.   H. Metz ; Camps, I.. Protoboard com elementos resistivos orgânicosprotoboard com elementos resistivos orgânicos. Em: Cleber Bianchessi. (Org.). O ENSINO E SUAS EXPRESSÕES: interdisciplinaridade, tecnologias, direitos humanos, linguagens, artes, discursos e recursos. 1ed. : Editora Bagai. 2021.p. 249-259.
2.   LOPES, N. A. F. ; Camps, I.. Montagem e uso de um laboratório virtual para o ensino de eletricidade e magnetismo. O ENSINO E SUAS EXPRESSÕES interdisciplinaridade, tecnologias, direitos humanos, linguagens, artes, discursos e recursos. 1ed. Em: . 2021.p. 260-272.

2020

1.   Alvarado-Huayhuaz, Jesus ; Jimenez, Fabian ; Cordova-Serrano, Gerson ; Camps, Ihosvany ; Puma-Zamora, Wilmar. Natural Products as Potential Inhibitors for SARS-CoV-2 Papain-Like Protease: An in Silico Study. Lecture Notes in Computer Science. 1aed. Em: . : Springer International Publishing. 2020.p. 265-270.
2.   VIVAS, M. G; Silva, Daniel L. ; MENDONCA, C. R. ; DE BONI, Leonardo. First-order hyperpolarizability of organic molecules: hyper-Rayleigh scattering and applications. Em: V.P. Gupta. (Org.). Molecular and Laser Spectroscopy: Advances and Applications. 1ed.Amsterdan. : Elsevier. 2020.v. 2, p. 1-646.

2019

1.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. How Docking Programs Work. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 35-50.
2.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. SAnDReS: A Computational Tool for Docking. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 51-65.
3.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Molecular Dynamics Simulations with NAMD2. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 109-124.
4.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Molegro Virtual Docker for Docking. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 149-167.
5.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Docking with GemDock. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 169-188.
6.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Docking with SwissDock. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 189-202.
7.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Molecular Docking Simulations with ArgusLab. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 203-220.
8.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Homology Modeling of Protein Targets with MODELLER. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 231-249.
9.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Machine Learning to Predict Binding Affinity. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 251-273.
10.   BITENCOURT-FERREIRA, GABRIELA ; de Azevedo, Walter Filgueira. Exploring the Scoring Function Space. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 275-281.
11.   BITENCOURT-FERREIRA, GABRIELA ; PINTRO, VAL OLIVEIRA ; de Azevedo, Walter Filgueira. Docking with AutoDock4. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 125-148.
12.   BITENCOURT-FERREIRA, GABRIELA ; Veit-Acosta, Martina ; de Azevedo, Walter Filgueira. Electrostatic Energy in Protein¿Ligand Complexes. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 67-77.
13.   BITENCOURT-FERREIRA, GABRIELA ; Veit-Acosta, Martina ; de Azevedo, Walter Filgueira. Van der Waals Potential in Protein Complexes. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.p. 79-91.
14.   BITENCOURT-FERREIRA, GABRIELA ; Veit-Acosta, Martina ; de Azevedo, Walter Filgueira. Hydrogen Bonds in Protein-Ligand Complexes. Em: Walter Filgueira de Azevedo Junior. (Org.). Methods in Molecular Biology. 1ed.New York. : Springer New York. 2019.v. 2053, p. 93-107.

2018

1.   Paiva, L. R. TUMOR THERAPIES CHALLENGES: INSIGHTS FROM MATHEMATICAL MODELS. Em: Octavio Miramontes; Elena Alvarez-Buylla. (Org.). Cancer: a complex disease. 1ed.Cd. de México. : CopIt-arXives. 2018.v. 1, p. 83-96.
2.   VIVAS, M. G.; De BONI, L. ; MENDONCA, C. R.. Two-Photon Spectroscopy of Organic Materials. Em: V.P. Gupta. (Org.). Molecular and Laser Spectroscopy. 1ed. : Elsevier. 2018.v. 1, p. 165-188.

2016

1.   Marino, Eduardo C. ; NUNES, Lizardo H. C. M.. Superconductivity in Layered Systems of Dirac Electrons. Em: P.D. Esquinazi. (Org.). Springer Series in Materials Science. 1ed. : Springer International Publishing. 2016.p. 97-122.

2014

1.   de Oliveira, Marcelo M.; Almeida, Alexandre C. L.. Testing for Rational Speculative Bubbles in the Brazilian Residential Real-Estate Market. Contemporary Studies in Economic and Financial Analysis. 1ed. Em: . : Emerald Group Publishing Limited. 2014.p. 401-416.
2.   LOMBARDI, F. R. ; ANAZETTI, M. C. ; SANTOS, Giovani Cesar dos ; POLIZELLI, P. P. ; OLIVIERI, Johnny Rizzieri ; de Azevedo, Walter Filgueira ; BONILLA-RODRIGUEZ, G. O.. Oxygen Binding Properties and Tetrameric Stability of Hemoglobins From the Snakes Crotalus Durissus Terrificus and Liophis Miliaris. Em: Ben M. Dunn. (Org.). Oxygen Binding Properties and Tetrameric Stability of Hemoglobins From the Snakes Crotalus Durissus Terrificus and Liophis Miliaris. 1ed. : Bentham. 2014.v. 1, p. 3-30.

2013

1.   FRESCHI, G. P. G. ; Valdiviesso, G. ; MENDES, P. N. ; Maestrelli, S. C.. O docente e a implantação do B.I. Em: Amanda Rezende Costa Xavier; Cláudio Antônio de Andrade Lima; Maria Emília Almeida da Cruz Tôrres. (Org.). Bacharelado interdisciplinar: a experiência da Universidade Federal de Alfenas, no campus avançado de Poços de Caldas. 1ed.Poços de Caldas. : Editora Progressiva. 2013.v. 1, p. 191-196.
2.   PAIVA, L. R.; FERREIRA, S. C. ; MARTINS, M. L.. Modeling therapies of cancer: From computer simulations to the clinic. Em: Dr. S. G. Pandalai. (Org.). Recent Research Developments in Cancer Research. 1ed.Kerala. : Transworld Research Network. 2013.v. 10, p. 1-29.

2006

1.   CALDAS, H. C. G. Phase Transition in Imbalanced Fermion Superfluids. Em: Mark Alford; John Clark and Armen Sedrakian. (Org.). PAIRING IN FERMIONIC SYSTEMS, Basic Concepts and Modern Applications. 1ed. : World Scientific. 2006.v. 8, p. 269-282.

1996

1.   KIM, S. H. ; SCHULZE-GAHMEN, U. ; BRANDSEN, J. ; de azevedo wf. Strutural Basis For Chemical Inhibition Of Cdk2. Em: L. Meijer, S. Guidet, L. Vogel. (Org.). PROGRESS IN CELL CYCLE RESEARCH. 1ed.New York, USA. : Plenum Press. 1996.v. 02, p. 137-145.


(*) Relatório criado com produções desde 1914 até 2114
Data de processamento: 03/02/2026 21:07:12