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Virtual screening, ADMET profiling, molecular docking and dynamics approaches to search for potent selective natural molecules based inhibitors against metallothionein-III to study Alzheimer's disease.
Roy, Sudeep; Kumar, Akhil; Baig, Mohd Hassan; Masarík, Michal; Provazník, Ivo.
Affiliation
  • Roy S; Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology Technická 12, 61200 Brno, Czech Republic. Electronic address: roy@feec.vutbr.cz.
  • Kumar A; Biotechnology Division, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow 226015, India. Electronic address: akhil2687@gmail.com.
  • Baig MH; School of Biotechnology, Yeungnam University, Gyeongsan 712749, Republic of Korea. Electronic address: mohdhassanbaig@gmail.com.
  • Masarík M; Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, Bld. A18, 625 00 Brno, Czech Republic. Electronic address: masarik@med.muni.cz.
  • Provazník I; International Clinical Research Center - Center of Biomedical Engineering, St. Anne's University Hospital Brno and Department of Biomedical Engineering, FEEC, Brno University of Technology, Brno, Czech Republic. Electronic address: ivo.provaznik@fnusa.cz.
Methods ; 83: 105-10, 2015 Jul 15.
Article in En | MEDLINE | ID: mdl-25920949

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Nerve Tissue Proteins Type of study: Diagnostic_studies / Screening_studies Limits: Humans Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2015 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Nerve Tissue Proteins Type of study: Diagnostic_studies / Screening_studies Limits: Humans Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2015 Type: Article