Emerging landscape of computational modeling in pharmaceutical development

YA Abramov, G Sun, Q Zeng - Journal of Chemical Information …, 2022 - ACS Publications
Computational chemistry applications have become an integral part of the drug discovery
workflow over the past 35 years. However, computational modeling in support of drug …

[HTML][HTML] Recent advances in co-former screening and formation prediction of multicomponent solid forms of low molecular weight drugs

Y Deng, S Liu, Y Jiang, ICB Martins, T Rades - Pharmaceutics, 2023 - mdpi.com
Multicomponent solid forms of low molecular weight drugs, such as co-crystals, salts, and co-
amorphous systems, are a result of the combination of an active pharmaceutical ingredient …

Virtual coformer screening by crystal structure predictions: Crucial role of crystallinity in pharmaceutical cocrystallization

G Sun, Y Jin, S Li, Z Yang, B Shi, C Chang… - The Journal of …, 2020 - ACS Publications
One of the most popular strategies of the optimization of drug properties in the
pharmaceutical industry appears to be a solid form changing into a cocrystalline form. A …

[HTML][HTML] Periodic DFT calculations—review of applications in the pharmaceutical sciences

AH Mazurek, Ł Szeleszczuk, DM Pisklak - Pharmaceutics, 2020 - mdpi.com
In the introduction to this review the complex chemistry of solid-state pharmaceutical
compounds is summarized. It is also explained why the density functional theory (DFT) …

Purely predicting the pharmaceutical solubility: What to expect from PC-SAFT and COSMO-RS?

M Klajmon - Molecular Pharmaceutics, 2022 - ACS Publications
A pair of popular thermodynamic models for pharmaceutical applications, namely, the
perturbed-chain statistical associating fluid theory (PC-SAFT) equation of state and the …

Application of the solubility parameter concept to assist with oral delivery of poorly water-soluble drugs–a PEARRL review

S Jankovic, G Tsakiridou, F Ditzinger… - Journal of Pharmacy …, 2019 - academic.oup.com
Objectives Solubility parameters have been used for decades in various scientific fields
including pharmaceutics. It is, however, still a field of active research both on a conceptual …

Harnessing cloud architecture for crystal structure prediction calculations

P Zhang, GPF Wood, J Ma, M Yang, Y Liu… - Crystal Growth & …, 2018 - ACS Publications
Accurate and rapid crystal structure predictions have the potential to transform the
development of new materials, particularly in fields with highly complex molecular structures …

Exploring the cocrystal landscape of posaconazole by combining high-throughput screening experimentation with computational chemistry

M Guidetti, R Hilfiker, M Kuentz… - Crystal Growth & …, 2022 - ACS Publications
The development of multicomponent crystal forms, such as cocrystals, represents a means
to enhance the dissolution and absorption properties of poorly water-soluble drug …

Current state-of-the-art in-house and cloud-based applications of virtual polymorph screening of pharmaceutical compounds: A challenging case of AZD1305

GX Sun, X Liu, YA Abramov, SO Nilsson Lill… - Crystal Growth & …, 2021 - ACS Publications
We demonstrate the successful application of the state-of-the-art AstraZeneca in-house and
XtalPi cloud-based virtual polymorph screening workflows in support of stable form selection …

Investigating various parametrization strategies for pharmaceuticals within the PC-SAFT equation of state

M Klajmon - Journal of Chemical & Engineering Data, 2020 - ACS Publications
Computational modeling is of great importance in solvent selection for new active
pharmaceutical ingredients (APIs), with the Perturbed-Chain Statistical Associating Fluid …