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Journal of Computer-aided Molecular Design

Francesco Manzoni, Ulf Ryde
We have calculated relative binding affinities for eight tetrafluorophenyl-triazole-thiogalactoside inhibitors of galectin-3 with the alchemical free-energy perturbation approach. We obtain a mean absolute deviation from experimental estimates of only 2-3 kJ/mol and a correlation coefficient (R2 ) of 0.5-0.8 for seven relative affinities spanning a range of up to 11 kJ/mol. We also studied the effect of using different methods to calculate the charges of the inhibitor and different sizes of the perturbed group (the atoms that are described by soft-core potentials and are allowed to have differing coordinates)...
March 13, 2018: Journal of Computer-aided Molecular Design
Shubhandra Tripathi, Gaurava Srivastava, Aastha Singh, A P Prakasham, Arvind S Negi, Ashok Sharma
Colchicine site inhibitors are microtubule destabilizers having promising role in cancer therapeutics. In the current study, four such indanone derivatives (t1, t9, t14 and t17) with 3,4,5-trimethoxyphenyl fragment (ring A) and showing significant microtubule destabilization property have been explored. The interaction mechanism and conformational modes triggered by binding of these indanone derivatives and combretastatin at colchicine binding site (CBS) of αβ-tubulin dimer were studied using molecular dynamics (MD) simulation, principle component analysis and free energy landscape analysis...
March 7, 2018: Journal of Computer-aided Molecular Design
Jian Gao, Li Liang, Qingqing Chen, Ling Zhang, Tonghui Huang
Acetyl-coenzyme A carboxylases (ACCs) is the first committed enzyme of fatty acid synthesis pathway. The inhibition of ACC is thought to be beneficial not only for diseases related to metabolism, such as type-2 diabetes, but also for infectious disease like bacterial infection disease. Soraphen A, a potent allosteric inhibitor of BC domain of yeast ACC, exhibit lower binding affinities to several yeast ACC mutants and the corresponding drug resistance mechanisms are still unknown. We report here a theoretical study of binding of soraphen A to wild type and yeast ACC mutants (including F510I, N485G, I69E, E477R, and K73R) via molecular dynamic simulation and molecular mechanics/generalized Born surface area free energy calculations methods...
February 20, 2018: Journal of Computer-aided Molecular Design
Peter A Hunt, Matthew D Segall, Jonathan D Tyzack
In the development of novel pharmaceuticals, the knowledge of how many, and which, Cytochrome P450 isoforms are involved in the phase I metabolism of a compound is important. Potential problems can arise if a compound is metabolised predominantly by a single isoform in terms of drug-drug interactions or genetic polymorphisms that would lead to variations in exposure in the general population. Combined with models of regioselectivities of metabolism by each isoform, such a model would also aid in the prediction of the metabolites likely to be formed by P450-mediated metabolism...
February 20, 2018: Journal of Computer-aided Molecular Design
David A Winkler
The quantitative structure-activity relationships method was popularized by Hansch and Fujita over 50 years ago. The usefulness of the method for drug design and development has been shown in the intervening years. As it was developed initially to elucidate which molecular properties modulated the relative potency of putative agrochemicals, and at a time when computing resources were scarce, there is much scope for applying modern mathematical methods to improve the QSAR method and to extending the general concept to the discovery and optimization of bioactive molecules and materials more broadly...
February 14, 2018: Journal of Computer-aided Molecular Design
Sebastian Raschka, Alex J Wolf, Joseph Bemister-Buffington, Leslie A Kuhn
Understanding how proteins encode ligand specificity is fascinating and similar in importance to deciphering the genetic code. For protein-ligand recognition, the combination of an almost infinite variety of interfacial shapes and patterns of chemical groups makes the problem especially challenging. Here we analyze data across non-homologous proteins in complex with small biological ligands to address observations made in our inhibitor discovery projects: that proteins favor donating H-bonds to ligands and avoid using groups with both H-bond donor and acceptor capacity...
February 12, 2018: Journal of Computer-aided Molecular Design
Zainab K Sanusi, Thavendran Govender, Glenn E M Maguire, Sibusiso B Maseko, Johnson Lin, Hendrik G Kruger, Bahareh Honarparvar
The aspartate protease of the human immune deficiency type-1 virus (HIV-1) has become a crucial antiviral target in which many useful antiretroviral inhibitors have been developed. However, it seems the emergence of new HIV-1 PR mutations enhances drug resistance, hence, the available FDA approved drugs show less activity towards the protease. A mutation and insertion designated L38L↑N↑L PR was recently reported from subtype of C-SA HIV-1. An integrated two-layered ONIOM (QM:MM) method was employed in this study to examine the binding affinities of the nine HIV PR inhibitors against this mutant...
February 3, 2018: Journal of Computer-aided Molecular Design
Krishna P Singh, Lokesh Baweja, Olaf Wolkenhauer, Qamar Rahman, Shailendra K Gupta
Graphene-based nanomaterials (GBNMs) are widely used in various industrial and biomedical applications. GBNMs of different compositions, size and shapes are being introduced without thorough toxicity evaluation due to the unavailability of regulatory guidelines. Computational toxicity prediction methods are used by regulatory bodies to quickly assess health hazards caused by newer materials. Due to increasing demand of GBNMs in various size and functional groups in industrial and consumer based applications, rapid and reliable computational toxicity assessment methods are urgently needed...
February 3, 2018: Journal of Computer-aided Molecular Design
Johann Gasteiger, Yvonne Martin, Anthony Nicholls, Tudor I Oprea, Terry Stouch
David Weininger's career, accomplishments, genius, and friendship are warmly remembered by several of his colleagues, friends, and admirers.
February 3, 2018: Journal of Computer-aided Molecular Design
Sebastian Raschka, Anne M Scott, Nan Liu, Santosh Gunturu, Mar Huertas, Weiming Li, Leslie A Kuhn
While the advantage of screening vast databases of molecules to cover greater molecular diversity is often mentioned, in reality, only a few studies have been published demonstrating inhibitor discovery by screening more than a million compounds for features that mimic a known three-dimensional (3D) ligand. Two factors contribute: the general difficulty of discovering potent inhibitors, and the lack of free, user-friendly software to incorporate project-specific knowledge and user hypotheses into 3D ligand-based screening...
January 30, 2018: Journal of Computer-aided Molecular Design
Stefania Villa, Laura Legnani, Diego Colombo, Arianna Gelain, Carmen Lammi, Daniele Bongiorno, Denise P Ilboudo, Kellen E McGee, Jürgen Bosch, Giovanni Grazioso
The proteins involved in the autophagy (Atg) pathway have recently been considered promising targets for the development of new antimalarial drugs. In particular, inhibitors of the protein-protein interaction (PPI) between Atg3 and Atg8 of Plasmodium falciparum retarded the blood- and liver-stages of parasite growth. In this paper, we used computational techniques to design a new class of peptidomimetics mimicking the Atg3 interaction motif, which were then synthesized by click-chemistry. Surface plasmon resonance has been employed to measure the ability of these compounds to inhibit the Atg3-Atg8 reciprocal protein-protein interaction...
January 30, 2018: Journal of Computer-aided Molecular Design
T R Gimadiev, T I Madzhidov, R I Nugmanov, I I Baskin, I S Antipin, A Varnek
We report the first direct QSPR modeling of equilibrium constants of tautomeric transformations (logK T ) in different solvents and at different temperatures, which do not require intermediate assessment of acidity (basicity) constants for all tautomeric forms. The key step of the modeling consisted in the merging of two tautomers in one sole molecular graph ("condensed reaction graph") which enables to compute molecular descriptors characterizing entire equilibrium. The support vector regression method was used to build the models...
January 29, 2018: Journal of Computer-aided Molecular Design
Stefano Della Longa, Alessandro Arcovito
Antagonists of the nociceptin receptor (NOP) are raising interest for their possible clinical use as antidepressant drugs. Recently, the structure of NOP in complex with some piperidine-based antagonists has been revealed by X-ray crystallography. In this study, a multi-flexible docking (MF-docking) procedure, i.e. docking to multiple receptor conformations extracted by preliminary molecular dynamics trajectories, together with hybrid quantum mechanics/molecular mechanics (QM/MM) simulations have been carried out to provide the binding mode of two novel NOP antagonists, one of them selective (BTRX-246040, formerly named LY-2940094) and one non selective (AT-076), i...
January 16, 2018: Journal of Computer-aided Molecular Design
Ryo Kunimoto, Jürgen Bajorath
Drug-target networks have aided in many target prediction studies aiming at drug repurposing or the analysis of side effects. Conventional drug-target networks are bipartite. They contain two different types of nodes representing drugs and targets, respectively, and edges indicating pairwise drug-target interactions. In this work, we introduce a tripartite network consisting of drugs, other bioactive compounds, and targets from different sources. On the basis of analog relationships captured in the network and so-called neighbor targets of drugs, new drug targets can be inferred...
January 16, 2018: Journal of Computer-aided Molecular Design
Manuela Sabatino, Dante Rotili, Alexandros Patsilinakos, Mariantonietta Forgione, Daniela Tomaselli, Fréderic Alby, Paola B Arimondo, Antonello Mai, Rino Ragno
Chemical inhibition of chromatin-mediated signaling involved proteins is an established strategy to drive expression networks and alter disease progression. Protein methyltransferases are among the most studied proteins in epigenetics and, in particular, disruptor of telomeric silencing 1-like (DOT1L) lysine methyltransferase plays a key role in MLL-rearranged acute leukemia Selective inhibition of DOT1L is an established attractive strategy to breakdown aberrant H3K79 methylation and thus overexpression of leukemia genes, and leukemogenesis...
January 15, 2018: Journal of Computer-aided Molecular Design
Zoltán Orgován, György G Ferenczy, Thomas Steinbrecher, Bence Szilágyi, Dávid Bajusz, György M Keserű
Optimization of fragment size D-amino acid oxidase (DAAO) inhibitors was investigated using a combination of computational and experimental methods. Retrospective free energy perturbation (FEP) calculations were performed for benzo[d]isoxazole derivatives, a series of known inhibitors with two potential binding modes derived from X-ray structures of other DAAO inhibitors. The good agreement between experimental and computed binding free energies in only one of the hypothesized binding modes strongly support this bioactive conformation...
January 15, 2018: Journal of Computer-aided Molecular Design
Miao Yu, Qiong Gu, Jun Xu
PI3Kα is a promising drug target for cancer chemotherapy. In this paper, we report a strategy of combing ligand-based and structure-based virtual screening to identify new PI3Kα inhibitors. First, naïve Bayesian (NB) learning models and a 3D-QSAR pharmacophore model were built based upon known PI3Kα inhibitors. Then, the SPECS library was screened by the best NB model. This resulted in virtual hits, which were validated by matching the structures against the pharmacophore models. The pharmacophore matched hits were then docked into PI3Kα crystal structures to form ligand-receptor complexes, which are further validated by the Glide-XP program to result in structural validated hits...
January 6, 2018: Journal of Computer-aided Molecular Design
Mohammad Amin Valizade Hasanloei, Razieh Sheikhpour, Mehdi Agha Sarram, Elnaz Sheikhpour, Hamdollah Sharifi
Quantitative structure-activity relationship (QSAR) is an effective computational technique for drug design that relates the chemical structures of compounds to their biological activities. Feature selection is an important step in QSAR based drug design to select the most relevant descriptors. One of the most popular feature selection methods for classification problems is Fisher score which aim is to minimize the within-class distance and maximize the between-class distance. In this study, the properties of Fisher criterion were extended for QSAR models to define the new distance metrics based on the continuous activity values of compounds with known activities...
December 26, 2017: Journal of Computer-aided Molecular Design
Zied Gaieb, Shuai Liu, Symon Gathiaka, Michael Chiu, Huanwang Yang, Chenghua Shao, Victoria A Feher, W Patrick Walters, Bernd Kuhn, Markus G Rudolph, Stephen K Burley, Michael K Gilson, Rommie E Amaro
The Drug Design Data Resource (D3R) ran Grand Challenge 2 (GC2) from September 2016 through February 2017. This challenge was based on a dataset of structures and affinities for the nuclear receptor farnesoid X receptor (FXR), contributed by F. Hoffmann-La Roche. The dataset contained 102 IC50 values, spanning six orders of magnitude, and 36 high-resolution co-crystal structures with representatives of four major ligand classes. Strong global participation was evident, with 49 participants submitting 262 prediction submission packages in total...
January 2018: Journal of Computer-aided Molecular Design
Rui Duan, Xianjin Xu, Xiaoqin Zou
D3R 2016 Grand Challenge 2 focused on predictions of binding modes and affinities for 102 compounds against the farnesoid X receptor (FXR). In this challenge, two distinct methods, a docking-based method and a template-based method, were employed by our team for the binding mode prediction. For the new template-based method, 3D ligand similarities were calculated for each query compound against the ligands in the co-crystal structures of FXR available in Protein Data Bank. The binding mode was predicted based on the co-crystal protein structure containing the ligand with the best ligand similarity score against the query compound...
January 2018: Journal of Computer-aided Molecular Design
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