Data and Molecular Fingerprint-Driven Machine Learning Approaches to Halogen Bonding DOI
Daniel P. Devore, Kevin L. Shuford

Journal of Chemical Information and Modeling, Journal Year: 2024, Volume and Issue: 64(21), P. 8201 - 8214

Published: Oct. 29, 2024

The ability to predict the strength of halogen bonds and properties bond (XB) donors has significant utility for medicinal chemistry materials science. XBs are typically calculated through expensive ab initio methods. Thus, development tools techniques fast, accurate, efficient property predictions become increasingly more important. Herein, we employ three machine learning models classify XB complexes by their principal atom as well values maximum point on electrostatic potential surface (VS,max) interaction a molecular fingerprint data-based analysis. analysis produces root-mean-square error ca. 7.5 5.5 kcal mol–1 while predicting VS,max halobenzene haloethynylbenzene systems, respectively. However, prediction binding energy between ammonia acceptor is shown be within 1 density functional theory (DFT)-calculated energy. More accurate can made from precalculated DFT data when compared

Language: Английский

Decrypting the Unusual Structure and σ-Hole Interactions of the XC(NO2)3 (X=F, Cl, Br, and I) Compounds Using Quasi-Atomic Orbitals DOI Creative Commons
Emilie B. Guidez

Molecules, Journal Year: 2025, Volume and Issue: 30(9), P. 1986 - 1986

Published: April 29, 2025

This work reports the quasi-atomic orbital analysis of XC(NO2)3 (X=F, Cl, Br, and I) compounds shows that interactions between C-N σ bonds lone electron pairs on halogen atom oxygen atoms nitro groups may contribute to unusually short C-X distances observed. While presence a σ-hole compound not be obvious from density distribution, an intermolecular forces NH3--XC(NO2)3 complexes suggests -hole interaction nitrogen pair X (X=Cl, in linear N--X-C configuration, where electrostatics exchange dominate. The bond these systems is shown have noticeable covalent character, which captured polarization energy term. Complexation with ammonia nucleophile affect electronic structure entire compounds, notably oxygen/halogen bonds.

Language: Английский

Citations

0

Integrated experimental and computational investigations of crystal structure, and photophysical properties of 2,7-dibromo-9-(4-halobenzylidene)-9H-fluorene frameworks DOI

Miriam F. Beristain,

Enrique Pérez‐Gutiérrez, Margarita Cerón

et al.

Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 142171 - 142171

Published: March 1, 2025

Language: Английский

Citations

0

Halogen Bonds Formed by Halogen’s p/π-Hole in Molecules Help Shape Crystalline Materials DOI
Pradeep R. Varadwaj, Helder M. Marques, Ireneusz Grabowski

et al.

Crystal Growth & Design, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

Citations

0

Supramolecular assembly governed by tetrel, CN⋅⋅⋅π and other weak noncovalent interactions in two acrylonitrile derivatives with D-π-A topology: crystallography, optical properties and theoretical studies DOI
Enrique Pérez‐Gutiérrez, M. Udayakumar, Paulina Ceballos

et al.

Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1320, P. 139650 - 139650

Published: Aug. 17, 2024

Language: Английский

Citations

2

Synthesis and Structure of Unsymmetrical Anthracenyl-Isoxazole Antitumor Agents Via the Diastereoselective Bromination of 3-(9′-Anthryl)-Isoxazole Esters DOI Creative Commons
Michael J. Campbell, Daniel A. Decato, Chun Li

et al.

Crystals, Journal Year: 2024, Volume and Issue: 14(3), P. 256 - 256

Published: March 5, 2024

In pursuit of unsymmetrical precursors for the novel series anthracenyl-isoxazole amide (AIM) antitumor agents, a substituted anthracenes were subjected to bromination and re-aromatization in our study, during which we solved four single crystal X-ray diffractometry (Sc-xrd) structures report herein. The C-9 nitrile oxide, after its reaction with bromine, was isolated, but when re-aromatization, it returned starting 10-bromo oxide 1, did provide an accurate structure, R = 0.018. 10-halogenated 3-(9’-anthryl)-isoxazole esters re-aromatization. Surprisingly, yields obtained presence isoxazole reasonably good (62–68% isolated yields), major diastereomers allowed characterization using Sc-xrd. penta bromo product 2 showed trans, cis relationship bromines on A-ring anthracene, observed that unit cell, atropisomers displayed 1:1 ratio at chiral axis between anthrancene rings. Similarly, 10-chloro 3 indicated structure. A base-induced afforded 3,10-dihalogenated analogues selectively very (X Cl, 89%; X Br 92%), dibromo 4 characterized improved unique diastereomeric products suggested consideration electrophilic aromatic substitution mechanism driven by stereo-electronic environment, imposed ester substituent. promise application this chemistry future development AIM agents is suggested.

Language: Английский

Citations

1

Unveiling the Intermolecular Interactions between Drug 5-Fluorouracil and Watson–Crick/Hoogsteen Base Pairs: A Computational Analysis DOI Creative Commons
Natarajan Sathiyamoorthy Venkataramanan, Ambigapathy Suvitha, Ryoji Sahara

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(23), P. 24831 - 24844

Published: May 31, 2024

The adsorption of 5-fluorouracil (5FU) on Watson–Crick (WC) base pairs and Hoogsteen (HT) has been studied using the dispersion-corrected density functional theory (DFT). adsorption, binding energy, thermochemistry for drug 5FU WC HT were determined. most stable geometries near planar geometry, a higher preference than pairs. energies nucleobase are consistently pristine pairs, indicating that pair cleavage is less likely during drug. enthalpy change formation 5FU–DNA 5FU–nucleobases enthalpy-driven. Egap AT higher, suggesting their chemical reactivity toward further reaction would be GC electron difference (EDD) analysis shows significant decrease in aromatic regions purine bases (adenine/guanine) compared to pyrimidine bases. MESP diagram 5FU–nucleobase complexes directional interaction, with positive molecule interacting negative region other molecules. atoms show ρ(r) values C═O···H–N those N···H/N–H···O. N···H intermolecular bonds between pair/drug nucleobases weak, closed shell interactions electrostatic nature. noncovalent interaction several new spikes engendered along an increase strength, which indicates H-bonding stronger play dominant role stabilizing complexes. Energy decomposition drug–nucleobase complex marginal contributions

Language: Английский

Citations

1

A comparison of structure, bonding and non-covalent interactions of aryl halide and diarylhalonium halogen-bond donors DOI Creative Commons

Nicole Javaly,

Theresa M. McCormick, David R. Stuart

et al.

Beilstein Journal of Organic Chemistry, Journal Year: 2024, Volume and Issue: 20, P. 1428 - 1435

Published: June 27, 2024

Halogen bonding permeates many areas of chemistry. A wide range halogen-bond donors including neutral, cationic, monovalent, and hypervalent have been developed studied. In this work we used density functional theory (DFT), natural bond orbital (NBO) theory, quantum atoms in molecules (QTAIM) to analyze aryl that are monovalent each series include the halogens Cl, Br, I, At. Within diverse set donors, found trends relate halogen length with van der Waals radii non-covalent or partial covalency bond. We also a model calculate Δ G formation by linear combination % p-orbital character on energy σ-hole donor.

Language: Английский

Citations

0

Data and Molecular Fingerprint-Driven Machine Learning Approaches to Halogen Bonding DOI
Daniel P. Devore, Kevin L. Shuford

Journal of Chemical Information and Modeling, Journal Year: 2024, Volume and Issue: 64(21), P. 8201 - 8214

Published: Oct. 29, 2024

The ability to predict the strength of halogen bonds and properties bond (XB) donors has significant utility for medicinal chemistry materials science. XBs are typically calculated through expensive ab initio methods. Thus, development tools techniques fast, accurate, efficient property predictions become increasingly more important. Herein, we employ three machine learning models classify XB complexes by their principal atom as well values maximum point on electrostatic potential surface (VS,max) interaction a molecular fingerprint data-based analysis. analysis produces root-mean-square error ca. 7.5 5.5 kcal mol–1 while predicting VS,max halobenzene haloethynylbenzene systems, respectively. However, prediction binding energy between ammonia acceptor is shown be within 1 density functional theory (DFT)-calculated energy. More accurate can made from precalculated DFT data when compared

Language: Английский

Citations

0