QSAR, molecular docking, and molecular dynamics simulation–based design of novel anti-cancer drugs targeting thioredoxin reductase enzyme

[1]  R. Drozda,et al.  Targeting carbonic anhydrase IX and XII isoforms with small molecule inhibitors and monoclonal antibodies , 2022, Journal of enzyme inhibition and medicinal chemistry.

[2]  Mateusz Kciuk,et al.  Discovery of adapalene and dihydrotachysterol as antiviral agents for the Omicron variant of SARS-CoV-2 through computational drug repurposing , 2022, Molecular Diversity.

[3]  Mateusz Kciuk,et al.  Cyclin-Dependent Kinase Synthetic Lethality Partners in DNA Damage Response , 2022, International journal of molecular sciences.

[4]  M. Elhallaoui,et al.  2D-QSAR modeling, drug-likeness studies, ADMET prediction, and molecular docking for anti-lung cancer activity of 3-substituted-5-(phenylamino) indolone derivatives , 2022, Structural Chemistry.

[5]  Mateusz Kciuk,et al.  Cyclin-dependent kinases in DNA damage response. , 2022, Biochimica et biophysica acta. Reviews on cancer.

[6]  S. Mujwar Computational bioprospecting of andrographolide derivatives as potent cyclooxygenase-2 inhibitors , 2021, Biomedical and Biotechnology Research Journal (BBRJ).

[7]  A. Goyal,et al.  Phytoestrogens as Potential Antiandrogenic Agents against Prostate Cancer: An In Silico Analysis , 2021, Letters in Drug Design & Discovery.

[8]  Jianguo Fang,et al.  How can we improve the design of small molecules to target thioredoxin reductase for treating cancer? , 2020, Expert opinion on drug discovery.

[9]  Rashi Jain,et al.  Repurposing metocurine as main protease inhibitor to develop novel antiviral therapy for COVID-19 , 2020, Structural Chemistry.

[10]  K. Shah,et al.  Computational Design and Biological Depiction of Novel Naproxen Derivative. , 2020, Assay and drug development technologies.

[11]  Yong Ling,et al.  Design and synthesis of benzylidenecyclohexenones as TrxR inhibitors displaying high anticancer activity and inducing ROS, apoptosis, and autophagy. , 2020, European journal of medicinal chemistry.

[12]  Alekh Gour,et al.  Drug Repurposing Approach for Developing Novel Therapy Against Mupirocin-Resistant Staphylococcus aureus. , 2019, Assay and drug development technologies.

[13]  P. Mishra,et al.  Molecular Docking and In Silico Cogitation Validate Mefenamic Acid Prodrugs as Human Cyclooxygenase-2 Inhibitor. , 2019, Assay and drug development technologies.

[14]  Supratik Kar,et al.  On a simple approach for determining applicability domain of QSAR models , 2015 .

[15]  Somdutt Mujwar,et al.  Prediction of Riboswitch as a Potential Drug Target for Infectious Diseases: An Insilico Case Study of Anthrax , 2015 .

[16]  T. Mak,et al.  Modulation of oxidative stress as an anticancer strategy , 2013, Nature Reviews Drug Discovery.

[17]  Humayun Kabir,et al.  Comparative Studies on Some Metrics for External Validation of QSPR Models , 2012, J. Chem. Inf. Model..

[18]  Minyong Li,et al.  A comparison of different electrostatic potentials on prediction accuracy in CoMFA and CoMSIA studies. , 2010, European journal of medicinal chemistry.

[19]  Garrett M Morris,et al.  Using AutoDock for Ligand‐Receptor Docking , 2008, Current protocols in bioinformatics.

[20]  I. Tetko,et al.  Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens. , 2007, Journal of molecular graphics & modelling.

[21]  K. Becker,et al.  On the potential of thioredoxin reductase inhibitors for cancer therapy. , 2006, Seminars in cancer biology.

[22]  H. G. Petersen Accuracy and efficiency of the particle mesh Ewald method , 1995 .

[23]  Tudor I. Oprea,et al.  Three-dimensional QSAR of human immunodeficiency virus (I) protease inhibitors. 1. A CoMFA study employing experimentally-determined alignment rules. , 1993, Journal of medicinal chemistry.

[24]  R. Cramer,et al.  Validation of the general purpose tripos 5.2 force field , 1989 .

[25]  R. Cramer,et al.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins. , 1988, Journal of the American Chemical Society.

[26]  P. Pradhan,et al.  “In-silico Prediction of Riboswitches and Design of their Potent Inhibitors for H1N1, H2N2 and H3N2 Strains of Influenza Virus” , 2016 .

[27]  J. DiMasi,et al.  Returns on Research and Development for 1990s New Drug Introductions , 2012, PharmacoEconomics.