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Journal of Computer-aided Molecular Design

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https://www.readbyqxmd.com/read/29737445/a-molecular-dynamics-investigation-of-cdk8-cycc-and-ligand-binding-conformational-flexibility-and-implication-in-drug-discovery
#1
Timothy Cholko, Wei Chen, Zhiye Tang, Chia-En A Chang
Abnormal activity of cyclin-dependent kinase 8 (CDK8) along with its partner protein cyclin C (CycC) is a common feature of many diseases including colorectal cancer. Using molecular dynamics (MD) simulations, this study determined the dynamics of the CDK8-CycC system and we obtained detailed breakdowns of binding energy contributions for four type-I and five type-II CDK8 inhibitors. We revealed system motions and conformational changes that will affect ligand binding, confirmed the essentialness of CycC for inclusion in future computational studies, and provide guidance in development of CDK8 binders...
May 8, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29725908/role-of-protein-structure-and-the-role-of-individual-fingers-in-zinc-finger-protein-dna-recognition-a-molecular-dynamics-simulation-study-and-free-energy-calculations
#2
Mazen Y Hamed
Molecular dynamics and MM_GBSA energy calculations on various zinc finger proteins containing three and four fingers bound to their target DNA gave insights into the role of each finger in the DNA binding process as part of the protein structure. The wild type Zif 268 (PDB code: 1AAY) gave a ΔG value of - 76.1 (14) kcal/mol. Zinc fingers ZF1, ZF2 and ZF3 were mutated in one experiment and in another experiment one finger was cut and the rest of the protein was studied for binding. The ΔΔG values for the Zinc Finger protein with both ZF1 and ZF2 mutated was + 80 kcal/mol, while mutating only ZF1 the ΔΔG value was + 52 kcal/mol (relative to the wild type)...
May 3, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29687309/dr2di-a-powerful-computational-tool-for-predicting-novel-drug-disease-associations
#3
Lu Lu, Hua Yu
Finding the new related candidate diseases for known drugs provides an effective method for fast-speed and low-risk drug development. However, experimental identification of drug-disease associations is expensive and time-consuming. This motivates the need for developing in silico computational methods that can infer true drug-disease pairs with high confidence. In this study, we presented a novel and powerful computational tool, DR2DI, for accurately uncovering the potential associations between drugs and diseases using high-dimensional and heterogeneous omics data as information sources...
April 23, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29627878/discovery-of-a-small-molecule-inhibitor-of-dvl-cxxc5-interaction-by-computational-approaches
#4
Songling Ma, Jiwon Choi, Xuemei Jin, Hyun-Yi Kim, Ji-Hye Yun, Weontae Lee, Kang-Yell Choi, Kyoung Tai No
The Wnt/β-catenin signaling pathway plays a significant role in the control of osteoblastogenesis and bone formation. CXXC finger protein 5 (CXXC5) has been recently identified as a negative feedback regulator of osteoblast differentiation through a specific interaction with Dishevelled (Dvl) protein. It was reported that targeting the Dvl-CXXC5 interaction could be a novel anabolic therapeutic target for osteoporosis. In this study, complex structure of Dvl PDZ domain and CXXC5 peptide was simulated with molecular dynamics (MD)...
April 7, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29626291/comparing-the-performance-of-meta-classifiers-a-case-study-on-selected-imbalanced-data-sets-relevant-for-prediction-of-liver-toxicity
#5
Sankalp Jain, Eleni Kotsampasakou, Gerhard F Ecker
Cheminformatics datasets used in classification problems, especially those related to biological or physicochemical properties, are often imbalanced. This presents a major challenge in development of in silico prediction models, as the traditional machine learning algorithms are known to work best on balanced datasets. The class imbalance introduces a bias in the performance of these algorithms due to their preference towards the majority class. Here, we present a comparison of the performance of seven different meta-classifiers for their ability to handle imbalanced datasets, whereby Random Forest is used as base-classifier...
April 6, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29594836/molecular-dynamics-characterization-of-the-samhd1-aicardi-gouti%C3%A3-res-arg145gln-mutant-structural-determinants-for-the-impaired-tetramerization
#6
Francesca Cardamone, Mattia Falconi, Alessandro Desideri
Aicardi-Goutières syndrome, a rare genetic disorder characterized by calcification of basal ganglia, results in psychomotor delays and epilepsy states from the early months of children life. This disease is caused by mutations in seven different genes encoding proteins implicated in the metabolism of nucleic acids, including SAMHD1. Twenty SAMHD1 gene variants have been discovered and in this work, a structural characterization of the SAMHD1 Aicardi-Goutières Arg145Gln mutant is reported by classical molecular dynamics simulation...
March 28, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29582230/binding-free-energy-calculations-to-rationalize-the-interactions-of-huprines-with-acetylcholinesterase
#7
Érica C M Nascimento, Mónica Oliva, Juan Andrés
In the present study, the binding free energy of a family of huprines with acetylcholinesterase (AChE) is calculated by means of the free energy perturbation method, based on hybrid quantum mechanics and molecular mechanics potentials. Binding free energy calculations and the analysis of the geometrical parameters highlight the importance of the stereochemistry of huprines in AChE inhibition. Binding isotope effects are calculated to unravel the interactions between ligands and the gorge of AChE. New chemical insights are provided to explain and rationalize the experimental results...
March 26, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29582229/in-silico-guided-discovery-of-novel-ccr9-antagonists
#8
Xin Zhang, Jason B Cross, Jan Romero, Alexander Heifetz, Eric Humphries, Katie Hall, Yuchuan Wu, Sabrina Stucka, Jing Zhang, Haoqun Chandonnet, Blaise Lippa, M Dominic Ryan, J Christian Baber
Antagonism of CCR9 is a promising mechanism for treatment of inflammatory bowel disease, including ulcerative colitis and Crohn's disease. There is limited experimental data on CCR9 and its ligands, complicating efforts to identify new small molecule antagonists. We present here results of a successful virtual screening and rational hit-to-lead campaign that led to the discovery and initial optimization of novel CCR9 antagonists. This work uses a novel data fusion strategy to integrate the output of multiple computational tools, such as 2D similarity search, shape similarity, pharmacophore searching, and molecular docking, as well as the identification and incorporation of privileged chemokine fragments...
March 26, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29564808/investigation-of-the-binding-mode-of-a-novel-cruzain-inhibitor-by-docking-molecular-dynamics-ab-initio-and-mm-pbsa-calculations
#9
Luan Carvalho Martins, Pedro Henrique Monteiro Torres, Renata Barbosa de Oliveira, Pedro Geraldo Pascutti, Elio A Cino, Rafaela Salgado Ferreira
Chagas disease remains a major health problem in South America, and throughout the world. The two drugs clinically available for its treatment have limited efficacy and cause serious adverse effects. Cruzain is an established therapeutic target of Trypanosoma cruzi, the protozoan that causes Chagas disease. Our group recently identified a competitive cruzain inhibitor (compound 1) with an IC50  = 15 µM that is also more synthetically accessible than the previously reported lead, compound 2. Prior studies, however, did not propose a binding mode for compound 1, hindering understanding of the structure-activity relationship and optimization...
March 21, 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29536221/assessing-the-stability-of-free-energy-perturbation-calculations-by-performing-variations-in-the-method
#10
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)...
April 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29516382/insight-into-microtubule-destabilization-mechanism-of-3-4-5-trimethoxyphenyl-indanone-derivatives-using-molecular-dynamics-simulation-and-conformational-modes-analysis
#11
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...
April 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29464467/insight-into-the-molecular-mechanism-of-yeast-acetyl-coenzyme-a-carboxylase-mutants-f510i-n485g-i69e-e477r-and-k73r-resistant-to-soraphen-a
#12
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...
April 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29464466/whichp450-a-multi-class-categorical-model-to-predict-the-major-metabolising-cyp450-isoform-for-a-compound
#13
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...
April 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29445894/sparse-qsar-modelling-methods-for-therapeutic-and-regenerative-medicine
#14
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...
April 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29435780/protein-ligand-interfaces-are-polarized-discovery-of-a-strong-trend-for-intermolecular-hydrogen-bonds-to-favor-donors-on-the-protein-side-with-implications-for-predicting-and-designing-ligand-complexes
#15
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...
April 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29397520/an-insight-to-the-molecular-interactions-of-the-fda-approved-hiv-pr-drugs-against-l38l%C3%A2-n%C3%A2-l-pr-mutant
#16
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...
March 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29397519/impact-of-graphene-based-nanomaterials-gbnms-on-the-structural-and-functional-conformations-of-hepcidin-peptide
#17
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...
March 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29383467/enabling-the-hypothesis-driven-prioritization-of-ligand-candidates-in-big-databases-screenlamp-and-its-application-to-gpcr-inhibitor-discovery-for-invasive-species-control
#18
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...
March 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29383466/structure-based-drug-design-synthesis-and-biological-assays-of-p-falciparum-atg3-atg8-protein-protein-interaction-inhibitors
#19
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...
March 2018: Journal of Computer-aided Molecular Design
https://www.readbyqxmd.com/read/29380104/assessment-of-tautomer-distribution-using-the-condensed-reaction-graph-approach
#20
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...
March 2018: Journal of Computer-aided Molecular Design
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