Cocrystals of [1,2,5]oxadiazolo[3,4-c]cinnoline 5-oxides and 1,5-dioxides: step-by-step development of crystal engineering of energetic materials DOI
Nikita М. Baraboshkin, Victor P. Zelenov, Ivan V. Fedyanin

и другие.

CrystEngComm, Год журнала: 2024, Номер 27(3), С. 386 - 399

Опубликована: Дек. 2, 2024

Using crystal structure prediction methods, cocrystal packings for BTF and FTDO with FCO/FCDO were simulated. New cocrystals of FCDO obtained, their structures determined the main interactions analyzed.

Язык: Английский

Frontiers of molecular crystal structure prediction for pharmaceuticals and functional organic materials DOI Creative Commons
Gregory J. O. Beran

Chemical Science, Год журнала: 2023, Номер 14(46), С. 13290 - 13312

Опубликована: Янв. 1, 2023

Molecular crystal structure prediction has matured to the point where it can routinely facilitate discovery and design of new organic materials.

Язык: Английский

Процитировано

41

Is It Salt, Cocrystal, or Continuum? Successes and Limitations of Computationally Efficient Periodic System Calculations DOI
Yuriy A. Abramov, Jian Wang

Crystal Growth & Design, Год журнала: 2024, Номер 24(10), С. 4017 - 4024

Опубликована: Апрель 26, 2024

Definitive characterization of pharmaceutical salt and cocrystal solid forms is crucial from regulatory intellectual property perspectives. Consequently, predicting acid–base solid-state configurations along the salt–cocrystal spectrum has become a quest for modern computational methods. The successes limitations two computationally efficient GGA m-GGA periodic system density functional (DFT) methods were benchmarked against data set 19 organic crystals displaying 24 N···H···O intermolecular hydrogen bonds, with proton positions assigned by NMR or single-crystal neutron diffraction experiments. revTPSS method demonstrated accurate reliable performance in configurations, while PBE-MBD* calculations yielded somewhat less results. However, at both levels failed to describe continuum characterized short (below ∼2.57 Å 100–120 K) N···O bonds. A practical workflow support conjunction routine single crystal X-ray measurements was proposed.

Язык: Английский

Процитировано

6

Thermodynamic Stability Is a Poor Indicator of Cocrystallization in Models of Organic Molecules DOI

Yulia Pimonova,

John E. Carpenter, Michael Gruenwald

и другие.

Journal of the American Chemical Society, Год журнала: 2024, Номер 146(4), С. 2805 - 2815

Опубликована: Янв. 19, 2024

Cocrystallizing a given molecule with another can be useful for adjusting the physical properties of molecules in solid state. However, most combinations do not readily cocrystallize but form either one-component crystals or amorphous solids. Computational methods crystal structure prediction can, principle, identify thermodynamically stable cocrystal and thus predict if will not. pronounced polymorphism tendency many organic to disordered solids suggest that kinetic factors play an important role cocrystallization. The question remains: binary system has cocrystal, it indeed cocrystallize? To address this question, we simulate crystallization more than 2600 distinct pairs chiral model similar size 2D calculate accurate energy landscapes all them. Our analysis shows thermodynamic criteria alone are unreliable While vast majority cocrystals our simulations favorable, coformer systems have cocrystallize. We furthermore show cocrystallization rates increase 3-fold when coformers used well-ordered single-component crystals. results decisive cases.

Язык: Английский

Процитировано

5

On the Road to Cocrystal Prediction: A Screening Study for the Validation of In Silico Methods DOI Creative Commons
Amy A. Sarjeant, Heba Abourahma, Stephen R. Thomas

и другие.

Crystal Growth & Design, Год журнала: 2024, Номер 24(13), С. 5486 - 5493

Опубликована: Июнь 20, 2024

The pharmaceutical industry is increasingly exploring cocrystals as a solution to provide improved material properties for otherwise intractable active ingredients (APIs). Researchers have attempted streamline the experimental process of screening by developing in silico predictive tools. These tools use intermolecular interactions, primarily hydrogen bonding, well other molecular descriptors quickly assess likelihood cocrystal formation between an API and set small-molecule coformers. We developed web-based application using three such help us prioritize against library nearly 300 individual In order validate our algorithms, molecules from compound were screened, experimentally with application, subset 40 Here, we present design app, work used its predictions, relative success techniques.

Язык: Английский

Процитировано

4

Prioritizing Computational Cocrystal Prediction Methods for Experimental Researchers: A Review to Find Efficient, Cost-Effective, and User-Friendly Approaches DOI Open Access
Beáta Lemli, Szilárd Pál, Ala’ Salem

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(22), С. 12045 - 12045

Опубликована: Ноя. 9, 2024

Pharmaceutical cocrystals offer a versatile approach to enhancing the properties of drug compounds, making them an important tool in formulation and development by improving therapeutic performance patient experience pharmaceutical products. The prediction involves using computational theoretical methods identify potential cocrystal formers understand interactions between active ingredient coformers. This process aims predict whether two or more molecules can form stable structure before performing experimental synthesis, thus saving time resources. In this review, commonly used are first overviewed then evaluated based on three criteria: efficiency, cost-effectiveness, user-friendliness. Based these considerations, we suggest researchers without strong experiences which tools should be tested as step workflow rational design cocrystals. However, optimal choice depends specific needs resources, combining from different categories powerful approach.

Язык: Английский

Процитировано

3

Conformational polymorphism in a mononuclear phosphanegold(I) thiocarbamato species, Cy3PAu[SC(OEt)=N(C6H4Cl-3)] DOI
Chien Ing Yeo, Yee Seng Tan, Wai Kit Tang

и другие.

Zeitschrift für Kristallographie - Crystalline Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Abstract Two polymorphs of Cy 3 PAu[SC(OEt)=N(C 6 H 4 Cl-3)], that is a triclinic form ( P 1 $\overline{1}$ with Z ′ = 1; the α -form) and monoclinic 2 1 / c ; β have been characterised. The molecular structures feature linear P–Au–S coordination geometries close intramolecular Au⋯O(ethoxy) contacts 3.1552(17) 3.097(2) Å for - -forms, respectively. major conformational differences between relates to relative orientations thiocarbamato anions cyclohexylphosphane ligands. Computational chemistry shows be isoenergetic (single-point calculations) practically zero barrier interconversion. An analysis packing highlights importance cyclohexyl-C–H···S(thiolate) methyl-C–H···π(chlorophenyl) in crystal -form, π(chlorophenyl)···π(chlorophenyl) -form. While similarities are apparent solid-state luminescence spectra, different electronic transitions responsible spectroscopic observations.

Язык: Английский

Процитировано

0

Caprolactam Cocrystals: Bridging Virtual Screening to Experimental Solid-State Forms and Stability DOI Creative Commons

Tom L. Petrick,

Alexander Hubmann,

Doris E. Braun

и другие.

Crystal Growth & Design, Год журнала: 2025, Номер unknown

Опубликована: Март 31, 2025

This study revisits and expands the field of lactam cocrystals to include additional structural analogues sulfonamides evaluates potential virtual screening methods. Cocrystallization lactams is driven by both lactam–lactam lactam–API interactions. Four cocrystals, SA/CLCC, SG/CLCC, DDS/CLCC-I, DDS/CLCC-II, were experimentally produced, including two novel ones, SG/CLCC DDS/CLCC-II. The structures new multicomponent phases successfully solved using powder X-ray diffraction data complemented DFT-d calculations. Calorimetric analysis confirmed that DDS/CLCC-II high-temperature polymorph enantiotropically related DDS/CLCC-I. Virtual methods, molecular complementarity, hydrogen-bond propensity, electrostatic maps, demonstrated utility but limited properties chosen coformer class. Crystal structure prediction on other hand proved be most reliable computational approach, identifying cocrystallization outcomes in all three systems matching experimental 1:1 cocrystal with computationally generated ones. investigations revealed could reduce, not completely prevent, sublimation tendency ε-caprolactam. Solubility tests showed no improvement API solubility, as disintegrated into their individual components within shortest time contact water. Thus, this work sheds light cocrystallization, highlighting strengths limitations current predictive approaches, well challenges need addressed work.

Язык: Английский

Процитировано

0

High-Throughput Encapsulated Nanodroplet Screening for Accelerated Co-Crystal Discovery DOI Creative Commons
Jessica P. Metherall, Philip Corner, James F. McCabe

и другие.

Chemical Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

A high-throughput nanoscale co-crystallisation approach is presented, that combines automation and small scale to enable the exploration of conditions, resulting in 30 new binary, ternary quaternary co-crystals.

Язык: Английский

Процитировано

0

Discovery of Cilnidipine Cocrystals with Enhanced Dissolution by the Use of Computational Tools and Semiautomatic High-Throughput Screening DOI Creative Commons
Matteo Guidetti,

Rolf Hilfiker,

Susan M. De Paul

и другие.

Crystal Growth & Design, Год журнала: 2025, Номер 25(10), С. 3374 - 3385

Опубликована: Апрель 29, 2025

Cocrystals are an attractive option for overcoming drug limitations, such as a low dissolution rate and absorption of poorly water-soluble compounds. Nevertheless, the discovery new cocrystals remains trial-and-error approach in which hundreds coformers several experimental methods often tested. To streamline cocrystal screening, computational can be used to select most likely form cocrystal, while high-throughput screening (HTS) approaches rapidly screen them experimentally. In this manuscript, extremely soluble cilnidipine (solubility ≈30 ng/mL, 0.06 μM) was successfully discovered by applying HTS approaches. Only one resulted from with total 52 coformers, whereby molecular complementarity ranked coformer (p-toluenesulfonamide) at third position list. Dissolution studies conducted on blank FaSSIF (fasted-state simulated intestinal fluid) pH 6.5 revealed enhanced maximum achieved supersaturation equal seven times solubility crystalline drug. rates were compared better mechanistic understanding dissolution-supersaturation-precipitation behavior. The case rare occurrence emphasized importance using joint enable successful identification pharmaceutical development.

Язык: Английский

Процитировано

0

Resources for Accelerating Medicine Discovery DOI

Maria Cristina Garcia‐Paredes,

Pushkar G. Ghanekar,

Rachel K. Chambers

и другие.

Burger's Medicinal Chemistry and Drug Discovery, Год журнала: 2025, Номер unknown, С. 1 - 57

Опубликована: Май 26, 2025

Abstract Using artificial intelligence and machine learning, computational tools are increasingly accelerating new medicine discovery. Applications to the stages of drug discovery, including target identification, hit lead optimization, developability assessment, described. This chapter provides a compilation databases, software packages, web‐based applications for evaluation, optimization molecules.

Язык: Английский

Процитировано

0