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Results: 78

Sergei F. Vyboishchikov

Predicting Solvation Free Energies Using Electronegativity-Equalization Atomic Charges and a Dense Neural Network: A Generalized-Born Approach
J. Chem. Theory Comput., 2023, 19, 8340-8350
DOI: 10.1021/acs.jctc.3c00858
Keywords: Machine learning, Method development

Abdulrahman Aldossary, Martí Gimferrer, Yuezhi Mao, Hongxia Hao, Akshaya K. Das, Pedro Salvador, Teresa Head-Gordon, Martin Head-Gordon
Force Decomposition Analysis: A Method to Decompose Intermolecular Forces into Physically Relevant Component Contributions
J. Phys. Chem. A, 2023, 127, 1760-1774
DOI: 10.1021/acs.jpca.2c08061
Keywords: Chemical bonding, Method development

Guillem Casadevall, Cristina Duran, Sílvia Osuna
AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design
JACS Au, 2023, 3, 1554-1562
DOI: 10.1021/jacsau.3c00188
Keywords: Biocatalysis, Biomolecules and biomaterials, Enzyme design, Method development

Maria Martinez-Sevillano, Maria J. Falaguera, Jordi Mestres
CIPSI: An open chemical intellectual property service for medicinal chemists
Molecular Informatics, 2023, [], ASAP-
DOI: 10.1002/minf.202300221
Keywords: Chemoinformatics, Computational chemistry, Ligand design, Method development, Molecular similarity

Alex Iglesias-Reguant, Heribert Reis, Miroslav Medveď, Josep M. Luis, Robert Zaleśny
A new computational tool for interpreting the infrared spectra of molecular complexes
Phys. Chem. Chem. Phys., 2023, 25, 11658-11664
DOI: 10.1039/D2CP03562F
Keywords: Chemical bonding, Computational chemistry, Method development, Non-covalent interactions, Spectroscopy

Alex Iglesias-Reguant, Heribert Reis, Miroslav Medved’, Borys Ośmiałowski, Robert Zaleśny, Josep M. Luis
Decoding the infrared spectra changes upon formation of molecular complexes: the case of halogen bonding in pyridine⋯perfluorohaloarene complexes
Phys. Chem. Chem. Phys., 2023, 25, 20173-20177
DOI: 10.1039/D3CP02412A
Keywords: Chemical bonding, Computational chemistry, Method development, Spectroscopy

Abhishek Kumar, Preeti Karmakar, Rudraditya Sarkar, TammineniRajagopala Rao
Photodetachment band of the fluorenyl anion: a theoretical rationalization
Phys. Chem. Chem. Phys., 2023, 25, 20668-20679
DOI: 10.1039/D3CP01031G
Keywords: Computational chemistry, Excited states, Method development, Spectroscopy

Sebastian P. Sitkiewicz, Eduard Matito, Josep M. Luis, Robert Zaleśny
Pitfall in simulations of vibronic TD-DFT spectra: diagnosis and assessment
Phys. Chem. Chem. Phys., 2023, 25, 30193-30197
DOI: 10.1039/D3CP04276F
Keywords: Computational chemistry, Excited states, Method development, Spectroscopy

Diana Montes-Grajales, Ricard Garcia-Serna, Jordi Mestres
Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events
Sci Rep, 2023, 13, ASAP-
DOI: 10.1038/s41598-023-46275-w
Keywords: Chemoinformatics, Drug safety, Method development, Pharmacovigilance, Safety signal detection

Martí Gimferrer, Abdulrahman Aldossary, Pedro Salvador, Martin Head-Gordon
Oxidation State Localized Orbitals: A Method for Assigning Oxidation States Using Optimally Fragment-Localized Orbitals and a Fragment Orbital Localization Index
J. Chem. Theory Comput., 2022, 18, 309-322
DOI: 10.1021/acs.jctc.1c01011
Keywords: Ab initio theory, Chemical bonding, Computational chemistry, Method development, Real-space analysis