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Computational drug design

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https://www.readbyqxmd.com/read/27914361/development-of-cxcr4-modulators-by-virtual-hts-of-a-novel-amide-sulfamide-compound-library
#1
Renren Bai, Qi Shi, Zhongxing Liang, Younghyoun Yoon, Yiran Han, Amber Feng, Shuangping Liu, Yoonhyeun Oum, C Chris Yun, Hyunsuk Shim
CXCR4 plays a crucial role in recruitment of inflammatory cells to inflammation sites at the beginning of the disease process. Modulating CXCR4 functions presents a new avenue for anti-inflammatory strategies. However, using CXCR4 antagonists for a long term usage presents potential serious side effect due to their stem cell mobilizing property. We have been developing partial CXCR4 antagonists without such property. A new computer-aided drug design program, the FRESH workflow, was used for anti-CXCR4 lead compound discovery and optimization, which coupled both compound library building and CXCR4 docking screens in one campaign...
November 24, 2016: European Journal of Medicinal Chemistry
https://www.readbyqxmd.com/read/27914299/the-effects-of-fluorine-substitution-on-the-chemical-properties-and-inhibitory-capacity-of-donepezil-anti-alzheimer-drug-density-functional-theory-and-molecular-docking-calculations
#2
Azita Khosravan, Safora Marani, Mohammad Sadegh Sadeghi Googheri
Drug fluorination has the potential to reproduce useful drugs with decreasing the side effect of them. Identifying the effect of this improvement on the chemical properties and biological interactions of drug symbolizes a meaningful progress in drug design. Here the fluorination of Donepezil as an anti-Alzheimer drug, including 7 fluorinated derivatives of it, was investigated computationally. In the first part of our calculations, the most important chemical properties of drug that affects the drug efficiency were investigated by applying the M06/6-31g (d, p) and M062X/6-31g (d, p) levels of theories...
November 25, 2016: Journal of Molecular Graphics & Modelling
https://www.readbyqxmd.com/read/27914066/computational-tools-for-allosteric-drug-discovery-site-identification-and-focus-library-design
#3
Wenkang Huang, Ruth Nussinov, Jian Zhang
Allostery is an intrinsic phenomenon of biological macromolecules involving regulation and/or signal transduction induced by a ligand binding to an allosteric site distinct from a molecule's active site. Allosteric drugs are currently receiving increased attention in drug discovery because drugs that target allosteric sites can provide important advantages over the corresponding orthosteric drugs including specific subtype selectivity within receptor families. Consequently, targeting allosteric sites, instead of orthosteric sites, can reduce drug-related side effects and toxicity...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914063/episweep-computationally-driven-reengineering-of-therapeutic-proteins-to-reduce-immunogenicity-while-maintaining-function
#4
Yoonjoo Choi, Deeptak Verma, Karl E Griswold, Chris Bailey-Kellogg
Therapeutic proteins are yielding ever more advanced and efficacious new drugs, but the biological origins of these highly effective therapeutics render them subject to immune surveillance within the patient's body. When recognized by the immune system as a foreign agent, protein drugs elicit a coordinated response that can manifest a range of clinical complications including rapid drug clearance, loss of functionality and efficacy, delayed infusion-like allergic reactions, more serious anaphylactic shock, and even induced auto-immunity...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914058/osprey-predicts-resistance-mutations-using-positive-and-negative-computational-protein-design
#5
Adegoke Ojewole, Anna Lowegard, Pablo Gainza, Stephanie M Reeve, Ivelin Georgiev, Amy C Anderson, Bruce R Donald
Drug resistance in protein targets is an increasingly common phenomenon that reduces the efficacy of both existing and new antibiotics. However, knowledge of future resistance mutations during pre-clinical phases of drug development would enable the design of novel antibiotics that are robust against not only known resistant mutants, but also against those that have not yet been clinically observed. Computational structure-based protein design (CSPD) is a transformative field that enables the prediction of protein sequences with desired biochemical properties such as binding affinity and specificity to a target...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914045/achievements-and-challenges-in-computational-protein-design
#6
Ilan Samish
Computational protein design (CPD), a yet evolving field, includes computer-aided engineering for partial or full de novo designs of proteins of interest. Designs are defined by a requested structure, function, or working environment. This chapter describes the birth and maturation of the field by presenting 101 CPD examples in a chronological order emphasizing achievements and pending challenges. Integrating these aspects presents the plethora of CPD approaches with the hope of providing a "CPD 101". These reflect on the broader structural bioinformatics and computational biophysics field and include: (1) integration of knowledge-based and energy-based methods, (2) hierarchical designated approach towards local, regional, and global motifs and the integration of high- and low-resolution design schemes that fit each such region, (3) systematic differential approaches towards different protein regions, (4) identification of key hot-spot residues and the relative effect of remote regions, (5) assessment of shape-complementarity, electrostatics and solvation effects, (6) integration of thermal plasticity and functional dynamics, (7) negative design, (8) systematic integration of experimental approaches, (9) objective cross-assessment of methods, and (10) successful ranking of potential designs...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27913115/computer-design-synthesis-and-bioactivity-analyses-of-drugs-like-fingolimod-used-in-the-treatment-of-multiple-sclerosis
#7
Gurbet Çelik Turgut, Doğukan Doyduk, Yılmaz Yıldırır, Serkan Yavuz, Atilla Akdemir, Ali Dişli, Alaattin Şen
Multiple sclerosis (MS) is a very common disease of vital importance. In the MS treatment, some drugs such as fingolimod which help to protect nerves from damage are used. The main goal of the drug therapy in MS is to take control of the inflammation which leads to the destruction of myelin and axons in nerve cell and thus prevent and stop the progression of the disease. Fingolimod (FTY720) is an orally active immunomodulatory drug that has been used for the treatment of relapsing-remitting multiple sclerosis...
November 18, 2016: Bioorganic & Medicinal Chemistry
https://www.readbyqxmd.com/read/27911825/elucidating-the-druggable-interface-of-protein-protein-interactions-using-fragment-docking-and-coevolutionary-analysis
#8
Fang Bai, Faruck Morcos, Ryan R Cheng, Hualiang Jiang, José N Onuchic
Protein-protein interactions play a central role in cellular function. Improving the understanding of complex formation has many practical applications, including the rational design of new therapeutic agents and the mechanisms governing signal transduction networks. The generally large, flat, and relatively featureless binding sites of protein complexes pose many challenges for drug design. Fragment docking and direct coupling analysis are used in an integrated computational method to estimate druggable protein-protein interfaces...
November 29, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27908829/exploring-the-binding-mechanism-of-heteroaryldihydropyrimidines-and-hepatitis-b-virus-capsid-combined-3d-qsar-and-molecular-dynamics
#9
Jing Tu, Jiao Jiao Li, Zhi Jie Shan, Hong Lin Zhai
The non-nucleoside drugs have been developed to treat HBV infection owing to their increased efficacy and lesser side effects, in which heteroaryldihydropyrimidines (HAPs) have been identified as effective inhibitors of HBV capsid. In this paper, the binding mechanism of HAPs targeting on HBV capsid protein was explored through three-dimensional quantitative structure-activity relationship, molecular dynamics and binding free energy decompositions. The obtained models of comparative molecular field analysis and comparative molecular similarity indices analysis enable the sufficient interpretation of structure-activity relationship of HAPs-HBV...
November 28, 2016: Antiviral Research
https://www.readbyqxmd.com/read/27905893/computational-prediction-of-multidisciplinary-team-decision-making-for-adjuvant-breast-cancer-drug-therapies-a-machine-learning-approach
#10
Frank P Y Lin, Adrian Pokorny, Christina Teng, Rachel Dear, Richard J Epstein
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decisions about adjuvant breast cancer treatments. METHODS: We analysed MDT decisions regarding adjuvant systemic therapy for 1065 breast cancer cases over eight years. Machine learning classifiers with and without bootstrap aggregation were correlated with MDT decisions (recommended, not recommended, or discussable) regarding adjuvant cytotoxic, endocrine and biologic/targeted therapies, then tested for predictability using stratified ten-fold cross-validations...
December 1, 2016: BMC Cancer
https://www.readbyqxmd.com/read/27900374/spatially-resolved-microfluidic-stimulation-of-lymphoid-tissue-ex-vivo
#11
Ashley E Ross, Maura C Belanger, Jacob F Woodroof, Rebecca R Pompano
The lymph node is a structurally complex organ of the immune system, whose dynamic cellular arrangements are thought to control much of human health. Currently, no methods exist to precisely stimulate substructures within the lymph node or analyze local stimulus-response behaviors, making it difficult to rationally design therapies for inflammatory disease. Here we describe a novel integration of live lymph node slices with a microfluidic system for local stimulation. Slices maintained the cellular organization of the lymph node while making its core experimentally accessible...
November 30, 2016: Analyst
https://www.readbyqxmd.com/read/27897001/differential-pathway-dependency-discovery-associated-with-drug-response-across-cancer-cell-lines
#12
Gil Speyer, Divya Mahendra, Hai J Tran, Jeff Kiefer, Stuart L Schreiber, Paul A Clemons, Harshil Dhruv, Michael Berens, Seungchan Kim
The effort to personalize treatment plans for cancer patients involves the identification of drug treatments that can effectively target the disease while minimizing the likelihood of adverse reactions. In this study, the gene-expression profile of 810 cancer cell lines and their response data to 368 small molecules from the Cancer Therapeutics Research Portal (CTRP) are analyzed to identify pathways with significant rewiring between genes, or differential gene dependency, between sensitive and non-sensitive cell lines...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27893399/enumerating-substituted-benzene-isomers-of-tree-like-chemical-graphs
#13
Jinghui Li, Hiroshi Nagamochi, Tatsuya Akutsu
Enumeration of chemical structures is useful for drug design, which is one of the main targets of computational biology and bioinformatics. A chemical graph G with no other cycles than benzene rings is called tree-like, and becomes a tree T possibly with multiple edges if we contract each benzene ring into a single virtual atom of valence 6. All tree-like chemical graphs with a given tree representation T are called the substituted benzene isomers of T. When we replace each virtual atom in T with a benzene ring to obtain a substituted benzene isomer, distinct isomers of T are caused by the difference in arrangements of atom groups around a benzene ring...
November 15, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/27891522/biomolecular-network-based-synergistic-drug-combination-discovery
#14
REVIEW
Xiangyi Li, Guangrong Qin, Qingmin Yang, Lanming Chen, Lu Xie
Drug combination is a powerful and promising approach for complex disease therapy such as cancer and cardiovascular disease. However, the number of synergistic drug combinations approved by the Food and Drug Administration is very small. To bridge the gap between urgent need and low yield, researchers have constructed various models to identify synergistic drug combinations. Among these models, biomolecular network-based model is outstanding because of its ability to reflect and illustrate the relationships among drugs, disease-related genes, therapeutic targets, and disease-specific signaling pathways as a system...
2016: BioMed Research International
https://www.readbyqxmd.com/read/27890821/molecular-dynamics-driven-drug-discovery-leaping-forward-with-confidence
#15
REVIEW
Aravindhan Ganesan, Michelle L Coote, Khaled Barakat
Given the significant time and financial costs of developing a commercial drug, it remains important to constantly reform the drug discovery pipeline with novel technologies that can narrow the candidates down to the most promising lead compounds for clinical testing. The past decade has witnessed tremendous growth in computational capabilities that enable in silico approaches to expedite drug discovery processes. Molecular dynamics (MD) has become a particularly important tool in drug design and discovery...
November 24, 2016: Drug Discovery Today
https://www.readbyqxmd.com/read/27890784/identifying-residues-that-determine-scf-molecular-level-interactions-through-a-combination-of-experimental-and-in-silico-analyses
#16
Eitan Rabinovich, Michael Heyne, Anna Bakhman, Mickey Kosloff, Julia M Shifman, Niv Papo
The stem cell factor (SCF)/c-Kit receptor tyrosine kinase complex - with its significant roles in hematopoiesis and angiogenesis - is an attractive target for rational drug design. There is thus a need to map, in detail, the SCF/c-Kit interaction sites and the mechanisms that modulate this interaction. While most residues in the direct SCF/c-Kit binding interface can be identified from the existing crystal structure of the complex, other residues that affect binding through protein unfolding, intermolecular interactions, or allosteric or long-distance electrostatic effects cannot be directly inferred...
November 24, 2016: Journal of Molecular Biology
https://www.readbyqxmd.com/read/27884807/helix-helix-interactions-in-membrane-domains-of-bitopic-proteins-specificity-and-role-of-lipid-environment
#17
REVIEW
Eduard V Bocharov, Konstantin S Mineev, Konstantin V Pavlov, Sergey A Akimov, Andrey S Kuznetsov, Roman G Efremov, Alexander S Arseniev
Interaction between transmembrane helices often determines biological activity of membrane proteins. Bitopic proteins, a broad subclass of membrane proteins, form dimers containing two membrane-spanning helices. Some aspects of their structure-function relationship cannot be fully understood without considering the protein-lipid interaction, which can determine the protein conformational ensemble. Experimental and computer modeling data concerning transmembrane parts of bitopic proteins are reviewed in the present paper...
November 22, 2016: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/27882560/a-computer-prescribing-order-entry-clinical-decision-support-system-designed-for-neonatal-care-results-of-the-preselected-prescription-concept-at-the-bedside
#18
B Gouyon, S Iacobelli, E Saliba, C Quantin, A Pignolet, E Jacqz-Aigrain, J B Gouyon
WHAT IS KNOWN: The neonatal intensive care units (NICUs) are at the highest risk of drug dose error of all hospital wards. NICUs also have the most complicated prescription modalities. The computerization of the prescription process is currently recommended to decrease the risk of preventable adverse drug effects (pADEs) in NICUs. However, Computer Prescribing Order Entry-Clinical Decision Support (C.P.O.E./C.D.S.) systems have been poorly studied in NICUs, and their technical compatibility with neonatal specificities has been limited...
November 23, 2016: Journal of Clinical Pharmacy and Therapeutics
https://www.readbyqxmd.com/read/27882067/bioinformatic-identification-of-rare-codon-clusters-rccs-in-hbv-genome-and-evaluation-of-rccs-in-proteins-structure-of-hepatitis-b-virus
#19
Mojtaba Mortazavi, Mohammad Zarenezhad, Saeid Gholamzadeh, Seyed Moayed Alavian, Mohammad Ghorbani, Reza Dehghani, Abdorrasoul Malekpour, Mohammadhasan Meshkibaf, Ali Fakhrzad
BACKGROUND: Hepatitis B virus (HBV) as an infectious disease that has nine genotypes (A - I) and a 'putative' genotype J. OBJECTIVES: The aim of this study was to identify the rare codon clusters (RCC) in the HBV genome and to evaluate these RCCs in the HBV proteins structure. METHODS: For detection of protein family accession numbers (Pfam) in HBV proteins, the UniProt database and Pfam search tool were used. Protein family accession numbers is a comprehensive and accurate collection of protein domains and families...
October 2016: Hepatitis Monthly
https://www.readbyqxmd.com/read/27878643/the-evolution-of-drug-design-at-merck-research-laboratories
#20
Frank K Brown, Edward C Sherer, Scott A Johnson, M Katharine Holloway, Bradley S Sherborne
On October 5, 1981, Fortune magazine published a cover article entitled the "Next Industrial Revolution: Designing Drugs by Computer at Merck". With a 40+ year investment, we have been in the drug design business longer than most. During its history, the Merck drug design group has had several names, but it has always been in the "design" business, with the ultimate goal to provide an actionable hypothesis that could be tested experimentally. Often the result was a small molecule but it could just as easily be a peptide, biologic, predictive model, reaction, process, etc...
November 23, 2016: Journal of Computer-aided Molecular Design
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