Current Computer-Aided Drug Design

Editor-in-Chief:

Subhash C. Basak
University of Minnesota Duluth
Duluth, MN
USA

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Most Accessed Articles

QSAR Analysis of Multimodal Antidepressants Vortioxetine Analogs Using Physicochemical Descriptors and MLR Modeling

Volume: 15   Issue: 4
Pp: 294-307
David M. Rajathei*, Subbiah Parthasarathy and Samuel Selvaraj
DOI: 10.2174/1573409914666181011144810

Molecular Modeling and Simulation of Transketolase from Orthosiphon stamineus

Volume: 15   Issue: 4
Pp: 308-317
Mei Ling Ng, Zaidah binti Rahmat* and Mohd Shahir Shamsir bin Omar
DOI: 10.2174/1573409914666181022141753

Computational Drug Designing and Prediction Of Important Parameters Using in silico Methods- A Review

Volume: 15   Issue: 5
Pp: 384-397
Tahmeena Khan*, Alfred J. Lawrence, Iqbal Azad, Saman Raza, Seema Joshi and Abdul Rahman Khan
DOI: 10.2174/1573399815666190326120006

The Application of Machine Learning Techniques in Clinical Drug Therapy

Volume: 15   Issue: 2
Pp: 111-119
Huan-Yu Meng, Wan-Lin Jin, Cheng-Kai Yan and Huan Yang*
DOI: 10.2174/1573409914666180525124608

In Silico Computations of Selective Phytochemicals as Potential Inhibitors Against Major Biological Targets of Diabetes Mellitus

Volume: 15   Issue: 5
Pp: 401-408
Ammara Akhtar, Anam Amir, Waqar Hussain, Abdul Ghaffar and Nouman Rasool*
DOI: 10.2174/1573409915666190130164923

Non Nucleoside Reverse Transcriptase Inhibitors, Molecular Docking Studies and Antitubercular Activity of Thiazolidin-4-one Derivatives

Volume: 15   Issue: 5
Pp: 433-444
Trupti S. Chitre*, Shital M. Patil, Anagha G. Sujalegaonkar, Kalyani D. Asgaonkar, Vijay M. Khedkar, Dinesh R. Garud, Prakash C. Jha, Sharddha Y. Gaikwad, Smita S. Kulkarni, Amit Choudhari and Dhiman Sarkar
DOI: 10.2174/1573409915666181221102903

In-Silico QSAR Modelling of Predicted Rho Kinase Inhibitors Against Cardio Vascular Diseases

Volume: 15   Issue: 5
Pp: 421-432
Seema Kesar*, Sarvesh Paliwal, Swapnil Sharma, Pooja Mishra, Monika Chauhan, Richa Arya, Kirtika Madan and Shagufta Khan
DOI: 10.2174/1573409915666190307163437