Discovery of the most stable form of an adenosine receptor antagonist through virtual polymorph screening and targeted crystallization.

An innovative approach was developed to identify the optimal crystalline form, usually the thermodynamically most stable form. This method involves using virtual polymorph screening and targeted crystallization based on in silico solid-state modeling. By utilizing advanced crystal structure prediction (CSP) technology, the virtual polymorph screening method helps confirm whether the most stable crystalline form has been identified in actual crystallization experiments.

Structure determination of an amorphous drug through large-scale NMR predictions.

Knowledge of the structure of amorphous solids can direct, for example, the optimization of pharmaceutical formulations, but atomic-level structure determination in amorphous molecular solids has so far not been possible. Solid-state nuclear magnetic resonance (NMR) is among the most popular methods to characterize amorphous materials, and molecular dynamics (MD) simulations can help describe the structure of disordered materials. However, directly relating MD to NMR experiments in molecular solids has been out of reach until now because of the large size of these simulations.

De novo tertiary structure prediction using RNA123--benchmarking and application to Macugen.

The present benchmarking study utilizes the RNA123 program for de novo prediction of tertiary structures of a set of 50 RNA molecules for which X-ray/NMR structures are available, based on the nucleic acid sequence only. All molecules contain a hairpin loop motif and a helical structure of canonical and non-canonical base pairs, interrupted by bulges and internal loops to various degrees. RNA molecules with double helices made up purely by canonical base pairing, and molecules containing symmetric internal loops of non-canonical base pairing are, overall, very well predicted.

Molecular Dynamics Studies of Liposomes as Carriers for Photosensitizing Drugs: Development, Validation, and Simulations with a Coarse-Grained Model.

Liposomes are proposed as drug delivery systems and can in principle be designed so as to cohere with specific tissue types or local environments. However, little detail is known about the exact mechanisms for drug delivery and the distributions of drug molecules inside the lipid carrier. In the current work, a coarse-grained (CG) liposome model is developed, consisting of over 2500 lipids, with varying degrees of drug loading.

Identifying the sarco(endo)plasmic reticulum Ca2+ ATPase (SERCA) as a potential target for hypericin--a theoretical study.

The exact cellular target for the potent anti-cancer agent hypericin has not yet been determined; this thus encourages the application of computational chemistry tools to be employed in order to provide insights that can be employed in further drug development studies. In the present study computational docking and molecular dynamics simulations are applied to investigate possible interactions between hypericin and the Ca(2+) pump SERCA as proposed in the literature. Hypericin was found to bind strongly both in pockets within the transmembrane region and in the cytosolic region of the protein, although the two studied isoforms of SERCA differ slightly in their preferred binding sites.

7-Nitro-4-(phenylthio)benzofurazan is a potent generator of superoxide and hydrogen peroxide.

Here, we report on 7-nitro-4-(phenylthio)benzofurazan (NBF-SPh), the most potent derivative among a set of patented anticancer 7-nitrobenzofurazans (NBFs), which have been suggested to function by perturbing protein-protein interactions. We demonstrate that NBF-SPh participates in toxic redox-cycling, rapidly generating reactive oxygen species (ROS) in the presence of molecular oxygen, and this is the first report to detail ROS production for any of the anticancer NBFs. Oxygraph studies showed that NBF-SPh consumes molecular oxygen at a substantial rate, rivaling even plumbagin, menadione, and juglone.

1,2-Bis(methylsulfonyl)-1-(2-chloroethyl)-2-[[1-(4-nitrophenyl)ethoxy]carbonyl]hydrazine (KS119): a cytotoxic prodrug with two stable conformations differing in biological and physical properties.

The anticancer prodrug 1,2-bis(methylsulfonyl)-1-(2-chloroethyl)-2-[[1-(4-nitrophenyl)ethoxy]carbonyl]hydrazine (KS119) selectively releases a short-lived cytotoxin following enzymatic reduction in hypoxic environments found in solid tumors. KS119, in addition to two enantiomers, has two stable atropisomers (conformers differing in structure owing to hindered bond rotation) that interconvert at 37 °C in aqueous solution by first-order kinetics with t(1/2) values of ∼50 and ∼64 h. The atropisomers differ in physical properties such as partition coefficients that allow their chromatographic separation on non-chiral columns.

Computational design of chlorin based photosensitizers with enhanced absorption properties.

The porphyrin and chlorin parent compounds constitute the base of many potent photosensitizers aimed to be utilized in photodynamic therapy (PDT). However, the photosensitizers available on the market today are not ideal for use in PDT; many of them suffering from drawbacks such as long-lasting photosensitization or absorption at wavelengths below the optimal tissue penetration. This has emphasized the need of new photosensitizers with improved photodynamic properties.

Predictive power of long-range corrected functionals on the spectroscopic properties of tetrapyrrole derivatives for photodynamic therapy.

Porphyrin and chlorin based compounds possess promising properties to be utilized as photosensitizers in photodynamic therapy (PDT). However, the photosensitizers available on the market today are not ideal for use in PDT, which has emphasized the need for new photosensitizers with improved photodynamic properties to be developed. Computational drug-design can be utilized in the search for improved pharmaceutical compounds, provided that the methods used are able to reproduce experimental data.

The Influence of Cholesterol on the Properties and Permeability of Hypericin Derivatives in Lipid Membranes.

The promising photosensitizing properties of hypericin, a natural quinine substituted with hydroxyl and alkyl groups, have led to the proposal that it can be utilized in photodynamic therapy. Neither the detailed mechanism behind the powerful action of hypericin, arising as a result of light excitation, nor the intracellular localization and transportation of the molecule is yet fully understood. The behavior of hypericin derivatives in a pure dipalmitoylphosphatidylcholine (DPPC) lipid membrane has recently been studied theoretically by means of molecular dynamics simulations.

Can Range-Separated and Hybrid DFT Functionals Predict Low-Lying Excitations? A Tookad Case Study.

The spectral properties of Tookad (Pd-bacteriopheophorbide, Pd-BPheid), an effective photosensitizer that targets mainly prostate tumors, and metal-free BPheid have been studied using time-dependent density functional theory (TD-DFT). The well-established B3LYP functional, which is known to overestimate excitation energies, was included in the study along with recently introduced range-separated and meta hybrid DFT functionals CAM-B3LYP, M06, M06-2X, M06HF, ωB97XD, ωB97X, ωB97, LC-ωPBE, and PBE0 (PBE1PBE). The main focus is the performance of the new functionals in predicting low-lying excitations (>600 nm), to explore their potential roles in drug development for photodynamic therapy.

Properties and Permeability of Hypericin and Brominated Hypericin in Lipid Membranes.

The promising photosensitizing properties of hypericin, a substituted phenanthroperylene quinone naturally found in Saint John's wort, has led to the proposal that it can be utilized in photodynamic therapy. Structurally modified derivatives are at the present time being investigated to generate a more effective hypericin photosensitizer. Neither the detailed mechanism behind the powerful action of hypericin, arising as a result of light excitation, nor the intracellular localization and transportation is still fully understood.