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Artigo de periodico
Interfacial structurization between triolein and water from pH and buffer ions (2024)
Frigerio, Matteo; Freire, Rafael V. M; Soares, Thereza Amélia ; Amenitsch, Heinz; Leser, Martin E; Salentinig, Stefan
Source: Journal of Colloid and Interface Science. Unidade: FFCLRP
Subjects: ADSORÇÃO, TENSÃO INTERFACIAL, INTERAÇÃO ENTRE ALIMENTOS E MEDICAMENTOS
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ABNT
FRIGERIO, Matteo et al. Interfacial structurization between triolein and water from pH and buffer ions. Journal of Colloid and Interface Science, v. 665, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jcis.2024.03.089. Acesso em: 27 nov. 2025.
APA
Frigerio, M., Freire, R. V. M., Soares, T. A., Amenitsch, H., Leser, M. E., & Salentinig, S. (2024). Interfacial structurization between triolein and water from pH and buffer ions. Journal of Colloid and Interface Science, 665. doi:10.1016/j.jcis.2024.03.089
NLM
Frigerio M, Freire RVM, Soares TA, Amenitsch H, Leser ME, Salentinig S. Interfacial structurization between triolein and water from pH and buffer ions [Internet]. Journal of Colloid and Interface Science. 2024 ; 665[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.jcis.2024.03.089
Vancouver
Frigerio M, Freire RVM, Soares TA, Amenitsch H, Leser ME, Salentinig S. Interfacial structurization between triolein and water from pH and buffer ions [Internet]. Journal of Colloid and Interface Science. 2024 ; 665[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.jcis.2024.03.089
Artigo de periodico-carta/editorial
Machine Learning in Materials Science. [Editorial] (2024)
Merz, Kenneth M; Choong, Yee Siew; Cournia, Zoe; Isayev, Olexandr; Soares, Thereza Amélia ; Wei, Guo-Wei; Zhu, Feng
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, BIOMATERIAIS
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ABNT
MERZ, Kenneth M et al. Machine Learning in Materials Science. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.4c00727. Acesso em: 27 nov. 2025. , 2024
APA
Merz, K. M., Choong, Y. S., Cournia, Z., Isayev, O., Soares, T. A., Wei, G. -W., & Zhu, F. (2024). Machine Learning in Materials Science. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.4c00727
NLM
Merz KM, Choong YS, Cournia Z, Isayev O, Soares TA, Wei G-W, Zhu F. Machine Learning in Materials Science. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 10): 3959-3960.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.4c00727
Vancouver
Merz KM, Choong YS, Cournia Z, Isayev O, Soares TA, Wei G-W, Zhu F. Machine Learning in Materials Science. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 10): 3959-3960.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.4c00727
Artigo de periodico-carta/editorial
Enhancing coarse-grained models through machine learning. [Editorial] (2024)
Karmakar, Tarak; Soares, Thereza Amélia ; Merz Jr, Kenneth M
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, SIMULAÇÃO, MODELAGEM MOLECULAR, NANOPARTÍCULAS
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ABNT
KARMAKAR, Tarak e SOARES, Thereza Amélia e MERZ JR, Kenneth M. Enhancing coarse-grained models through machine learning. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.4c00537. Acesso em: 27 nov. 2025. , 2024
APA
Karmakar, T., Soares, T. A., & Merz Jr, K. M. (2024). Enhancing coarse-grained models through machine learning. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.4c00537
NLM
Karmakar T, Soares TA, Merz Jr KM. Enhancing coarse-grained models through machine learning. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 8): 2931-2932.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.4c00537
Vancouver
Karmakar T, Soares TA, Merz Jr KM. Enhancing coarse-grained models through machine learning. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 8): 2931-2932.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.4c00537
Artigo de periodico
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling (2024)
Prati, Ronaldo C.; Rodrigues, Bruno S. M.; Aragão, Iberis; Silva, Thereza Amélia Soares da; Quiles, Marcos Gonçalves ; Silva, Juarez Lopes Ferreira da
Source: Journal of Chemical Information and Modeling. Unidades: IQSC, FFCLRP
Subjects: BIOENGENHARIA, BIOTECNOLOGIA, BIOLOGIA, MATERIAIS
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ABNT
PRATI, Ronaldo C. et al. The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. Journal of Chemical Information and Modeling, v. 64, n. 4, p. 1107–1111, 2024Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.3c02014. Acesso em: 27 nov. 2025.
APA
Prati, R. C., Rodrigues, B. S. M., Aragão, I., Silva, T. A. S. da, Quiles, M. G., & Silva, J. L. F. da. (2024). The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. Journal of Chemical Information and Modeling, 64( 4), 1107–1111. doi:10.1021/acs.jcim.3c02014
NLM
Prati RC, Rodrigues BSM, Aragão I, Silva TAS da, Quiles MG, Silva JLF da. The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling [Internet]. Journal of Chemical Information and Modeling. 2024 ;64( 4): 1107–1111.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.3c02014
Vancouver
Prati RC, Rodrigues BSM, Aragão I, Silva TAS da, Quiles MG, Silva JLF da. The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling [Internet]. Journal of Chemical Information and Modeling. 2024 ;64( 4): 1107–1111.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.3c02014
Artigo de periodico-carta/editorial
Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial] (2023)
Soares, Thereza A. ; Cournia, Zoe; Naidoo, Kevin J.; Amaro, Rommie E.; Wahab, Habibah A.; Merz, Kenneth
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: QUÍMICA TEÓRICA, MOLÉCULA, PESQUISA CIENTÍFICA
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ABNT
SOARES, Thereza A. et al. Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.3c00599. Acesso em: 27 nov. 2025. , 2023
APA
Soares, T. A., Cournia, Z., Naidoo, K. J., Amaro, R. E., Wahab, H. A., & Merz, K. (2023). Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.3c00599
NLM
Soares TA, Cournia Z, Naidoo KJ, Amaro RE, Wahab HA, Merz K. Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 11): 3227-3229.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.3c00599
Vancouver
Soares TA, Cournia Z, Naidoo KJ, Amaro RE, Wahab HA, Merz K. Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 11): 3227-3229.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.3c00599
Artigo de periodico
Accelerating lipid flip-flop at low concentrations: a general mechanism for membrane binding peptides (2023)
Carrer, Manuel; Nielsen, Josefine Eilsø; Cezar, Henrique Musseli ; Lund, Reidar; Cascella, Michele; Soares, Thereza A.
Source: The Journal of Physical Chemistry Letters. Unidade: FFCLRP
Subjects: SEQUÊNCIA DE AMINOÁCIDOS, TRANSPORTE BIOLÓGICO, FÍSICO-QUÍMICA, SIMULAÇÃO, MOLÉCULA
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ABNT
CARRER, Manuel et al. Accelerating lipid flip-flop at low concentrations: a general mechanism for membrane binding peptides. The Journal of Physical Chemistry Letters, v. 14, n. 31, p. 7014-7019, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.jpclett.3c01284. Acesso em: 27 nov. 2025.
APA
Carrer, M., Nielsen, J. E., Cezar, H. M., Lund, R., Cascella, M., & Soares, T. A. (2023). Accelerating lipid flip-flop at low concentrations: a general mechanism for membrane binding peptides. The Journal of Physical Chemistry Letters, 14( 31), 7014-7019. doi:10.1021/acs.jpclett.3c01284
NLM
Carrer M, Nielsen JE, Cezar HM, Lund R, Cascella M, Soares TA. Accelerating lipid flip-flop at low concentrations: a general mechanism for membrane binding peptides [Internet]. The Journal of Physical Chemistry Letters. 2023 ; 14( 31): 7014-7019.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jpclett.3c01284
Vancouver
Carrer M, Nielsen JE, Cezar HM, Lund R, Cascella M, Soares TA. Accelerating lipid flip-flop at low concentrations: a general mechanism for membrane binding peptides [Internet]. The Journal of Physical Chemistry Letters. 2023 ; 14( 31): 7014-7019.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jpclett.3c01284
Artigo de periodico
Inhibition of 3-Hydroxykynurenine transaminase from Aedes aegypti and Anopheles gambiae: a mosquito-specific target to combat the transmission of arboviruses (2023)
Maciel, Larissa Gonçalves ; Ferraz, Matheus Vitor Ferreira ; Oliveira, Andrew Albert de ; Lins, Roberto Dias ; Anjos, Janaína Versiani; Guido, Rafael Victorio Carvalho ; Soares, Thereza Amélia
Source: ACS Bio and Med Chem Au. Unidades: IFSC, FFCLRP, FMRP
Subjects: AEDES, LARVICIDAS, ARBOVÍRUS, EXPRESSÃO GÊNICA
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ABNT
MACIEL, Larissa Gonçalves et al. Inhibition of 3-Hydroxykynurenine transaminase from Aedes aegypti and Anopheles gambiae: a mosquito-specific target to combat the transmission of arboviruses. ACS Bio and Med Chem Au, v. 3, n. 2, p. 211-222 + supporting information, 2023Tradução . . Disponível em: https://doi.org/10.1021/acsbiomedchemau.2c00080. Acesso em: 27 nov. 2025.
APA
Maciel, L. G., Ferraz, M. V. F., Oliveira, A. A. de, Lins, R. D., Anjos, J. V., Guido, R. V. C., & Soares, T. A. (2023). Inhibition of 3-Hydroxykynurenine transaminase from Aedes aegypti and Anopheles gambiae: a mosquito-specific target to combat the transmission of arboviruses. ACS Bio and Med Chem Au, 3( 2), 211-222 + supporting information. doi:10.1021/acsbiomedchemau.2c00080
NLM
Maciel LG, Ferraz MVF, Oliveira AA de, Lins RD, Anjos JV, Guido RVC, Soares TA. Inhibition of 3-Hydroxykynurenine transaminase from Aedes aegypti and Anopheles gambiae: a mosquito-specific target to combat the transmission of arboviruses [Internet]. ACS Bio and Med Chem Au. 2023 ; 3( 2): 211-222 + supporting information.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acsbiomedchemau.2c00080
Vancouver
Maciel LG, Ferraz MVF, Oliveira AA de, Lins RD, Anjos JV, Guido RVC, Soares TA. Inhibition of 3-Hydroxykynurenine transaminase from Aedes aegypti and Anopheles gambiae: a mosquito-specific target to combat the transmission of arboviruses [Internet]. ACS Bio and Med Chem Au. 2023 ; 3( 2): 211-222 + supporting information.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acsbiomedchemau.2c00080
Artigo de periodico-carta/editorial
Editing DNA and RNA through Computations [Editorial] (2023)
Palermo, Giulia; Soares, Thereza A.
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: QUÍMICA, REPLICAÇÃO DO DNA, GENÔMICA, ÁCIDOS NUCLEICOS
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ABNT
PALERMO, Giulia e SOARES, Thereza A. Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.3c01824. Acesso em: 27 nov. 2025. , 2023
APA
Palermo, G., & Soares, T. A. (2023). Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.3c01824
NLM
Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824
Vancouver
Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824
Artigo de periodico
Exploring the molecular dynamics of a lipid-A vesicle at the atom level: morphology and permeation mechanism (2023)
Santos, Denys Ewerton da Silva; De Nicola, Antonio; Santos, Vinícius Fernando dos; Milano, Giuseppe; Soares, Thereza A.
Source: The Journal of Physical Chemistry B. Unidade: FFCLRP
Subjects: SIMULAÇÃO, MOLÉCULA, LIPÍDEOS DA MEMBRANA
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ABNT
SANTOS, Denys Ewerton da Silva et al. Exploring the molecular dynamics of a lipid-A vesicle at the atom level: morphology and permeation mechanism. The Journal of Physical Chemistry B, v. 127, n. 30, p. 6694-6702, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.jpcb.3c02848. Acesso em: 27 nov. 2025.
APA
Santos, D. E. da S., De Nicola, A., Santos, V. F. dos, Milano, G., & Soares, T. A. (2023). Exploring the molecular dynamics of a lipid-A vesicle at the atom level: morphology and permeation mechanism. The Journal of Physical Chemistry B, 127( 30), 6694-6702. doi:10.1021/acs.jpcb.3c02848
NLM
Santos DE da S, De Nicola A, Santos VF dos, Milano G, Soares TA. Exploring the molecular dynamics of a lipid-A vesicle at the atom level: morphology and permeation mechanism [Internet]. The Journal of Physical Chemistry B. 2023 ; 127( 30): 6694-6702.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jpcb.3c02848
Vancouver
Santos DE da S, De Nicola A, Santos VF dos, Milano G, Soares TA. Exploring the molecular dynamics of a lipid-A vesicle at the atom level: morphology and permeation mechanism [Internet]. The Journal of Physical Chemistry B. 2023 ; 127( 30): 6694-6702.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jpcb.3c02848
Artigo de periodico
Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape (2022)
Santos, Denys ; Coutinho, Kaline Rabelo ; Silva, Thereza Amélia Soares da
Source: Journal of Chemical Information and Modeling. Unidades: IF, FFCLRP
Subjects: FÍSICO-QUÍMICA, FÍSICA MOLECULAR, SOFTWARE ESTATÍSTICO PARA MICROCOMPUTADORES, LIPÍDEOS DA MEMBRANA
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ABNT
SANTOS, Denys e COUTINHO, Kaline Rabelo e SILVA, Thereza Amélia Soares da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape. Journal of Chemical Information and Modeling, v. 62, n. 19, p. 4690-4701, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00673. Acesso em: 27 nov. 2025.
APA
Santos, D., Coutinho, K. R., & Silva, T. A. S. da. (2022). Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape. Journal of Chemical Information and Modeling, 62( 19), 4690-4701. doi:10.1021/acs.jcim.2c00673
NLM
Santos D, Coutinho KR, Silva TAS da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4690-4701.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c00673
Vancouver
Santos D, Coutinho KR, Silva TAS da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4690-4701.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c00673
Artigo de periodico
Bias amplification in gender, gender identity, and geographical affiliation (2022)
Cascella, Michele; Silva, Thereza Amélia Soares da
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: PRECONCEITO, PESQUISA CIENTÍFICA
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ABNT
CASCELLA, Michele e SILVA, Thereza Amélia Soares da. Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, v. 62, n. 24, p. 6297-6301, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00533. Acesso em: 27 nov. 2025.
APA
Cascella, M., & Silva, T. A. S. da. (2022). Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, 62( 24), 6297-6301. doi:10.1021/acs.jcim.2c00533
NLM
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533
Vancouver
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533
Artigo de periodico-carta/editorial
Computational chemistry in Asia [Editorial] (2022)
Wei, Guo-Wei; Soares, Thereza A. ; Wahab, Habibah A.; Wang, Renxiao
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: PERIÓDICOS CIENTÍFICOS, QUÍMICA, QUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WEI, Guo-Wei et al. Computational chemistry in Asia [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01050. Acesso em: 27 nov. 2025. , 2022
APA
Wei, G. -W., Soares, T. A., Wahab, H. A., & Wang, R. (2022). Computational chemistry in Asia [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01050
NLM
Wei G-W, Soares TA, Wahab HA, Wang R. Computational chemistry in Asia [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 21): 5035-5037.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c01050
Vancouver
Wei G-W, Soares TA, Wahab HA, Wang R. Computational chemistry in Asia [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 21): 5035-5037.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c01050
Artigo de periodico-carta/editorial
Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial] (2022)
Cournia, Zoe; Soares, Thereza A. ; Wahab, Habibah A.; Amaro, Rommie E.
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: PERIÓDICOS CIENTÍFICOS, QUÍMICA TEÓRICA, CIÊNCIA
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ABNT
COURNIA, Zoe et al. Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01543. Acesso em: 27 nov. 2025. , 2022
APA
Cournia, Z., Soares, T. A., Wahab, H. A., & Amaro, R. E. (2022). Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01543
NLM
Cournia Z, Soares TA, Wahab HA, Amaro RE. Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6287-6291.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c01543
Vancouver
Cournia Z, Soares TA, Wahab HA, Amaro RE. Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6287-6291.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c01543
Artigo de periodico-carta/editorial
The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] (2022)
Soares, Thereza A. ; Alves, Ariane Ferreira Nunes; Mazzolari, Angelica; Ruggiu, Fiorella; Wei, Guo-Wei; Merz, Kenneth
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, MODELOS MATEMÁTICOS, ESTRUTURA MOLECULAR (QUÍMICA TEÓRICA)
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ABNT
SOARES, Thereza A. et al. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01422. Acesso em: 27 nov. 2025. , 2022
APA
Soares, T. A., Alves, A. F. N., Mazzolari, A., Ruggiu, F., Wei, G. -W., & Merz, K. (2022). The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01422
NLM
Soares TA, Alves AFN, Mazzolari A, Ruggiu F, Wei G-W, Merz K. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 22): 5317-5320.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c01422
Vancouver
Soares TA, Alves AFN, Mazzolari A, Ruggiu F, Wei G-W, Merz K. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 22): 5317-5320.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c01422
Artigo de periodico
The Effect of Surface Composition on the Selective Capture of Atmospheric CO2 by ZIF Nanoparticles: The Case of ZIF-8 (2022)
Vendite, Alexsander Carvalho ; Soares, Thereza A. ; Coutinho, Kaline Rabelo
Source: Journal of Chemical Information and Modeling (JCIM). Unidades: IF, FFCLRP
Subjects: FÍSICO-QUÍMICA, MODELAGEM MOLECULAR, ALGORITMOS NUMÉRICOS, NANOTECNOLOGIA, DIÓXIDO DE CARBONO, GASES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VENDITE, Alexsander Carvalho e SOARES, Thereza A. e COUTINHO, Kaline Rabelo. The Effect of Surface Composition on the Selective Capture of Atmospheric CO2 by ZIF Nanoparticles: The Case of ZIF-8. Journal of Chemical Information and Modeling (JCIM), p. 14, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00579. Acesso em: 27 nov. 2025.
APA
Vendite, A. C., Soares, T. A., & Coutinho, K. R. (2022). The Effect of Surface Composition on the Selective Capture of Atmospheric CO2 by ZIF Nanoparticles: The Case of ZIF-8. Journal of Chemical Information and Modeling (JCIM), 14. doi:10.1021/acs.jcim.2c00579
NLM
Vendite AC, Soares TA, Coutinho KR. The Effect of Surface Composition on the Selective Capture of Atmospheric CO2 by ZIF Nanoparticles: The Case of ZIF-8 [Internet]. Journal of Chemical Information and Modeling (JCIM). 2022 ;14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c00579
Vancouver
Vendite AC, Soares TA, Coutinho KR. The Effect of Surface Composition on the Selective Capture of Atmospheric CO2 by ZIF Nanoparticles: The Case of ZIF-8 [Internet]. Journal of Chemical Information and Modeling (JCIM). 2022 ;14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1021/acs.jcim.2c00579

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