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Home / Current Computer - Aided Drug Design, Volume 15, Number 1
Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, etc., providing excellent rationales for drug development.

Publisher: Bentham Science Publishers

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Volume 15, Number 1, 2019

Articles

Free Content Graphical Abstracts
pp. i-iv(4)

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Editorial

Free Content Editor's Perspective: Molecular Descriptor Landscape in the Twenty First Century and its Proper Use for Computer-Aided Drug Design
pp. 1-2(2)
Author: Basak, Subhash C.

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Free Content A Physical Theory of Sleep Involving Nitrogen Nanobubbles and Proton Hopping
pp. 3-5(3)
Authors: Basak, Subhash C.; Kier, Lemont B.

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Review article

Virtual Screening Meets Deep Learning
pp. 6-28(23)
Authors: Pérez-Sianes, Javier; Pérez-Sánchez, Horacio; Díaz, Fernando

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Research article

Base Distribution in Dengue Nucleotide Sequences Differs Significantly from Other Mosquito-Borne Human-Infecting Flavivirus Members
pp. 29-44(16)
Authors: Roy, Proyasha; Dey, Sumanta; Nandy, Ashesh; Basak, Subhash C.; Das, Sukhen

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An Integrated-OFFT Model for the Prediction of Protein Secondary Structure Class
pp. 45-54(10)
Authors: Panda, Bishnupriya; Majhi, Babita; Thakur, Abhimanyu

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Molecular Docking Analysis of Caspase-3 Activators as Potential Anticancer Agents
pp. 55-66(12)
Authors: Kashaw, Sushil K.; Agarwal, Shivangi; Mishra, Mitali; Sau, Samaresh; Iyer, Arun K.

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Combinatorial Design of Molecule using Activity-Linked Substructural Topological Information as Applied to Antitubercular Compounds
pp. 67-81(15)
Authors: Raychaudhury, Chandan; Rizvi, Md. I. H.; Pal, Debnath

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Lead Molecule Prediction and Characterization for Designing MERS-CoV 3C-like Protease Inhibitors: An In silico Approach
pp. 82-88(7)
Authors: Rahman, Md. M.; Hosen, Md. Bayejid; Howlader, M. Z. H.; Kabir, Yearul

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In silico Molecular Modelling of Selected Natural Ligands and their Binding Features with Estrogen Receptor Alpha
pp. 89-96(8)
Authors: Maruthanila, V.L.; Elancheran, R.; Roy, Nand K.; Bhattacharya, Anupam; Kunnumakkara, Ajaikumar B.; Kabilan, S.; Kotoky, Jibon

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In Silico Identification of Novel Apolipoprotein E4 Inhibitor for Alzheimer's Disease Therapy
pp. 97-103(7)
Authors: Bano, Saddia; Rasheed, Muhammad A.; Jamil, Farrukh; Ibrahim, Muhammad; Kanwal, Sumaira

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New Resensitizers for the Nicotinic Acetylcholine Receptor by Ligand-Based Pharmacophore Modeling
pp. 104-109(6)
Authors: Wein, Thomas; Wanner, Klaus T.; Rappenglück, Sebastian; Sichler, Sonja; Niessen, Karin V.; Seeger, Thomas; Worek, Franz; Thiermann, Horst

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