In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor.
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| Title: | In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor. |
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| Authors: | Mirzadeh A; Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, Australia., Kobakhidze G; Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, Australia., Vuillemot R; Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, Australia.; IMPMC - UMR 7590, CNRS, Sorbonne Université, Muséum National d'Histoire Naturelle, Paris, France., Jonic S; IMPMC - UMR 7590, CNRS, Sorbonne Université, Muséum National d'Histoire Naturelle, Paris, France., Rouiller I; Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, Australia. isabelle.rouiller@unimelb.edu.au. |
| Source: | BMC molecular and cell biology [BMC Mol Cell Biol] 2022 Sep 10; Vol. 23 (1), pp. 39. Date of Electronic Publication: 2022 Sep 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101741148 Publication Model: Electronic Cited Medium: Internet ISSN: 2661-8850 (Electronic) Linking ISSN: 26618850 NLM ISO Abbreviation: BMC Mol Cell Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2661-8850 |
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| DOI: | 10.1186/s12860-022-00437-2 |
