Protection of Primary Dopaminergic Midbrain Neurons Through Impact of Small Molecules Using Virtual Screening of GPR139 Supported by Molecular Dynamic Simulation and Systems Biology
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Shakti Sahi | Dong-Qing Wei | Aman Chandra Kaushik | Asma Sindhoo Nangraj | Dongqing Wei | A. Kaushik | S. Sahi | Deeksha Gautam | Deeksha Gautam
[1] Aman Chandra Kaushik,et al. Boolean network model for GPR142 against Type 2 diabetes and relative dynamic change ratio analysis using systems and biological circuits approach , 2015, Systems and Synthetic Biology.
[2] S. Mitaku,et al. Identification of G protein‐coupled receptor genes from the human genome sequence , 2002, FEBS letters.
[3] W. L. Jorgensen,et al. The OPLS [optimized potentials for liquid simulations] potential functions for proteins, energy minimizations for crystals of cyclic peptides and crambin. , 1988, Journal of the American Chemical Society.
[4] Brian K. Shoichet,et al. ZINC - A Free Database of Commercially Available Compounds for Virtual Screening , 2005, J. Chem. Inf. Model..
[5] Aman Chandra Kaushik,et al. Molecular modeling and molecular dynamics simulation-based structural analysis of GPR3 , 2017, Network Modeling Analysis in Health Informatics and Bioinformatics.
[6] J. C. Phillips. Icosahedral ordering in quasicrystals and metallic glasses , 1986 .
[7] Susheel Kumar,et al. Deciphering the Biochemical Pathway and Pharmacokinetic Study of Amyloid βeta-42 with Superparamagnetic Iron Oxide Nanoparticles (SPIONs) Using Systems Biology Approach , 2018, Molecular Neurobiology.
[8] C. Berger,et al. Novel human g-protein coupled receptor , 2003 .
[9] T. V. Suchithra,et al. Network Analysis of MPO and Other Relevant Proteins Involved in Diabetic Foot Ulcer and Other Diabetic Complications , 2017, Interdisciplinary Sciences: Computational Life Sciences.
[10] M. Nagano,et al. Molecular cloning and characterization of a novel Gq-coupled orphan receptor GPRg1 exclusively expressed in the central nervous system. , 2005, Biochemical and biophysical research communications.
[11] A. Kaushik,et al. In Silico Analysis of Sequence–Structure–Function Relationship of the Escherichia coli Methionine Synthase , 2015, Interdisciplinary Sciences: Computational Life Sciences.
[12] R. Purohit,et al. Structure based energy calculation to determine the regulation of G protein signalling by RGS and RGS-G protein interaction specificity , 2012, Interdisciplinary Sciences: Computational Life Sciences.
[13] Wei Kong,et al. Construction of Transcriptional Regulatory Network of Alzheimer’s Disease Based on PANDA Algorithm , 2018, Interdisciplinary Sciences: Computational Life Sciences.
[14] Hege S. Beard,et al. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. , 2004, Journal of medicinal chemistry.
[15] Sanjay Kumar,et al. Structure Based Virtual Screening Studies to Identify Novel Potential Compounds for GPR142 and Their Relative Dynamic Analysis for Study of Type 2 Diabetes , 2018, Front. Chem..
[16] Jiong Wu,et al. Co-expression Network Analysis Revealing the Potential Regulatory Roles of lncRNAs in Alzheimer’s Disease , 2019, Interdisciplinary Sciences: Computational Life Sciences.
[17] Jingwei Weng,et al. Molecular dynamics simulation of membrane proteins. , 2014, Advances in experimental medicine and biology.
[18] John L. Klepeis,et al. Molecular dynamics - Scalable algorithms for molecular dynamics simulations on commodity clusters , 2006, SC.
[19] Dhiraj Kumar,et al. An In-Silico Investigation of Key Lysine Residues and Their Selection for Clearing off Aβ and Holo-AβPP Through Ubiquitination , 2018, Interdisciplinary Sciences: Computational Life Sciences.
[20] GPR139, an Orphan Receptor Highly Enriched in the Habenula and Septum, Is Activated by the Essential Amino Acids l-Tryptophan and l-Phenylalanine , 2015, Molecular Pharmacology.
[21] Aman Chandra Kaushik,et al. Modelling and receptor-based virtual screening studies of GPR139 , 2017, Int. J. Bioinform. Res. Appl..
[22] A. Anbarasu,et al. In silico study of Alzheimer’s disease in relation to FYN gene , 2012, Interdisciplinary Sciences: Computational Life Sciences.
[23] M. Mortrud,et al. The G protein-coupled receptor repertoires of human and mouse , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[24] Liaoyuan A. Hu,et al. Identification of Surrogate Agonists and Antagonists for Orphan G-Protein-Coupled Receptor GPR139 , 2009, Journal of biomolecular screening.
[25] M. Fellous,et al. Novel paralogy relations among human chromosomes support a link between the phylogeny of doublesex-related genes and the evolution of sex determination. , 2002, Genomics.
[26] Joseph A. Hill. Nicotinic receptor-associated 43K protein and progressive stabilization of the postsynaptic membrane , 2008, Molecular Neurobiology.
[27] W. Southerland,et al. Computational modeling study of human nicotinic acetylcholine receptor for developing new drugs in the treatment of alcoholism , 2009, Interdisciplinary Sciences: Computational Life Sciences.
[28] Duncan Ayers,et al. Systems Medicine: The Application of Systems Biology Approaches for Modern Medical Research and Drug Development , 2015, Molecular biology international.
[29] A. Vaidya,et al. TGF-β signaling and its role in the regulation of hematopoietic stem cells , 2015, Systems and Synthetic Biology.
[30] M. Yadav,et al. Isolation and characterization of a novel chlorpyrifos degrading flavobacterium species EMBS0145 by 16S rRNA gene sequencing , 2014, Interdisciplinary Sciences: Computational Life Sciences.
[31] A. Kaushik,et al. 3D structure prediction and molecular dynamics simulation studies of GPR139 , 2016, 2016 International Conference on Bioinformatics and Systems Biology (BSB).
[32] Thomas A. Halgren,et al. Identifying and Characterizing Binding Sites and Assessing Druggability , 2009, J. Chem. Inf. Model..
[33] S. Rasmussen,et al. The structure and function of G-protein-coupled receptors , 2009, Nature.
[34] Kirsten B. Andersen,et al. The GPR139 reference agonists 1a and 7c, and tryptophan and phenylalanine share a common binding site , 2017, Scientific Reports.
[35] Jonathan Y. Mane,et al. Computer assisted design of second-generation colchicine derivatives , 2010, Interdisciplinary Sciences: Computational Life Sciences.
[36] David E. Gloriam,et al. Computer-Aided Discovery of Aromatic l-α-Amino Acids as Agonists of the Orphan G Protein-Coupled Receptor GPR139 , 2014, J. Chem. Inf. Model..
[37] T. F. Blessia,et al. Unwinding the Novel Genes Involved in the Differentiation of Embryonic Stem Cells into Insulin-Producing Cells: A Network-Based Approach , 2016, Interdisciplinary Sciences: Computational Life Sciences.
[38] H. Schaller,et al. Characterisation and differential expression of two very closely related G-protein-coupled receptors, GPR139 and GPR142, in mouse tissue and during mouse development , 2006, Neuropharmacology.
[39] Jeremy R. Greenwood,et al. Epik: a software program for pKa prediction and protonation state generation for drug-like molecules , 2007, J. Comput. Aided Mol. Des..
[40] Dongqing Wei,et al. Deciphering G-Protein-Coupled Receptor 119 Agonists as Promising Strategy against Type 2 Diabetes Using Systems Biology Approach , 2018, ACS Omega.
[41] Federico D. Sacerdoti,et al. Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters , 2006, ACM/IEEE SC 2006 Conference (SC'06).
[42] Peter B. McGarvey,et al. Infrastructure for the life sciences: design and implementation of the UniProt website , 2009, BMC Bioinformatics.
[43] Dongqing Wei,et al. G-protein-coupled receptors function as logic gates for nanoparticle binding using systems and synthetic biology approach , 2019, Journal of Materials Research.
[44] Zhiyong Pei,et al. Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine , 2018, Interdisciplinary Sciences: Computational Life Sciences.
[45] Ying Zuo,et al. Establishment of the method for screening the potential targets and effective components of huatuo reconstruction pill , 2014, Interdisciplinary Sciences: Computational Life Sciences.
[46] W. L. Jorgensen,et al. Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids , 1996 .
[47] W. Sherman,et al. Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field. , 2010, Journal of chemical theory and computation.
[48] David Calkins,et al. Towards the comprehensive, rapid, and accurate prediction of the favorable tautomeric states of drug-like molecules in aqueous solution , 2010, J. Comput. Aided Mol. Des..
[49] Devanshi D. Dave,et al. Portraying the Effect of Calcium-Binding Proteins on Cytosolic Calcium Concentration Distribution Fractionally in Nerve Cells , 2018, Interdisciplinary Sciences: Computational Life Sciences.
[50] Jakub Pas,et al. Ligand.Info small-molecule Meta-Database. , 2004, Combinatorial chemistry & high throughput screening.
[51] B. O'dowd,et al. Novel human G-protein-coupled receptors. , 2003, Biochemical and biophysical research communications.
[52] A. Kaushik,et al. Insights into unbound–bound states of GPR142 receptor in a membrane-aqueous system using molecular dynamics simulations , 2018, Journal of biomolecular structure & dynamics.
[53] Ming Zheng,et al. Inferring Gene Regulatory Networks Based on a Hybrid Parallel Genetic Algorithm and the Threshold Restriction Method , 2017, Interdisciplinary Sciences: Computational Life Sciences.
[54] Sanjay Kumar,et al. Nano-particle mediated inhibition of Parkinson’s disease using computational biology approach , 2018, Scientific Reports.
[55] Robert Fredriksson,et al. Nine new human Rhodopsin family G-protein coupled receptors: identification, sequence characterisation and evolutionary relationship. , 2005, Biochimica et biophysica acta.
[56] Dongqing Wei,et al. Evaluation and validation of synergistic effects of amyloid-beta inhibitor–gold nanoparticles complex on Alzheimer’s disease using deep neural network approach , 2019, Journal of Materials Research.
[57] Tiratha Raj Singh,et al. A New Decision Tree to Solve the Puzzle of Alzheimer’s Disease Pathogenesis Through Standard Diagnosis Scoring System , 2017, Interdisciplinary Sciences: Computational Life Sciences.