Anuraj Nayarisseri - Concepedia

Author

Anuraj Nayarisseri

Also Known As

A. Nayarisseri, ANURAJ NAYARISSERI, Anuraj NAYARISSERI, Anuraj Nayarisseri, Anuraj Nayarisseri S, Aparna Sykam, Dr. Anuraj Nayarisseri, Nayarisseri S. Anuraj, Nayarisseri, Anuraj

178

Publications

2.9K

Citations

H-Index

131

Concepts

All Affiliations

Alagappa University Osmania University King Saud University Institute of Genetics and Hospital for Genetic Diseases In Silico Biosciences (United States)

About

Anuraj Nayarisseri is an author at Alagappa University specializing in medicine, pharmacology, and drug discovery.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	24	40	1.2K
2	Natural Sciences	11	11	348
3	Engineering	5	5	295
4	Health Sciences	2	2	43
5	Public Health	1	1	22

Anuraj Nayarisseri

Publications

2.5K

Citations

H-Index

Page 1

	Year	Citations
Screening, isolation and characterization of biosurfactant producing Bacillus subtilis strain ANSKLAB03 Anuraj Nayarisseri, Poonam C. Singh, Sanjeev Kumar Singh Bioinformation	2018	139
Implications of a novel Pseudomonas species on low density polyethylene biodegradation: an in vitro to in silico approach Mayuri Bhatia, Amandeep Girdhar, Archana Tiwari, SpringerPlus	2014	127
Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery Anuraj Nayarisseri Current Drug Targets Artificial IntelligenceBiomedical Artificial IntelligenceEngineeringMachine Learning ApproachesData Science	2021	108
Computational Studies Applied to Flavonoids against Alzheimer’s and Parkinson’s Diseases Alex Monteiro, Jéssika de Oliveira Viana, Anuraj Nayarisseri, Oxidative Medicine and Cellular Longevity	2018	93
Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery Anuraj Nayarisseri, Ravina Khandelwal, Poonam Tanwar, Current Drug Targets Artificial IntelligenceDrug TargetEngineeringMachine LearningHit Identification	2021	92
Screening, isolation and characterization of biosurfactant-producing Bacillus tequilensis strain ANSKLAB04 from brackish river water Anuraj Nayarisseri, Poonam C. Singh, Sanjeev Kumar Singh International Journal of Environmental Science and Technology Microbial SystematicsEngineeringEnvironmental BiotechnologyMicrobial EcologyEnvironmental Microbiology	2018	46
Shape-based Machine Learning Models for the Potential Novel COVID-19 Protease Inhibitors Assisted by Molecular Dynamics Simulation Anuraj Nayarisseri, Ravina Khandelwal, Maddala Madhavi, Current Topics in Medicinal Chemistry	2020	46
An In silico Approach to Identify High Affinity Small Molecule Targeting m-TOR Inhibitors for the Clinical Treatment of Breast Cancer Khushboo Patidar, Umesh Panwar, Sugunakar Vuree, Asian Pacific Journal of Cancer Prevention Drug TargetClinical TreatmentTumor BiologyMolecular PharmacologyMedicinal Chemistry	2019	45
Structure-Based Virtual Screening for the Identification of High Affinity Compounds as Potent VEGFR2 Inhibitors for the Treatment of Renal Cell Carcinoma Khushboo Sharma, Khushboo Patidar, Meer Asif Ali, Current Topics in Medicinal Chemistry	2018	44
Virtual Screening Approaches in Identification of Bioactive Compounds Akin to Delphinidin as Potential HER2 Inhibitors for the Treatment of Breast Cancer Kavisha Patidar, Aruna Deshmukh, Srinivas Bandaru, Asian Pacific Journal of Cancer Prevention Drug TargetBreast OncologyChemoprevention StrategyPharmacotherapyHer2 Receptors	2016	43

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