Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

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Journal Description

JMIR Bioinformatics and Biotechnology (JBB) is a forthcoming journal from JMIR Publications, the leading publisher for technology in health and medicine. JBB is a new sister journal of JMIR, the leading journal in medicine, ehealth and health services research in the Internet age (Impact Factor 2017: 4.671). 

The Journal will launch in 2016 and is now open for submissions (no publication or submission fees for the inaugural issues).

We are currently seeking academic leaders in this field to apply as acquistion editors (paid), or section editors for Editorial Board positions. Among the EB, we will select an editor-in-chief. There will be remuneration in form of a credit system, rewarding actions such as taking on papers as submission editor.

Prequisites include a scholarly track-record, demonstrated by being a first author on peer-reviewed publications and having served as peer-reviewer (preferably this should include JMIR journals. Applicants can self-assign themselves to papers to be peer-reviewed at JMIR Preprints). Please include a list of publications as well as journals you reviewed for.

To apply, please contact jmir.editorial.office@gmail.com (Subject: JBB Editorial Board Self-Nomination) and include a brief description of your expertise and interests. 

 

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Latest Submissions Open for Peer-Review:

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  • Click by Click Molecular Docking for non-bioinformaticians using Chimera 1.12

    Date Submitted: Apr 3, 2019

    Open Peer Review Period: Apr 8, 2019 - Jun 3, 2019

    In the field of drug discovery, many methods of molecular modeling have been employed to study the complex biological and chemical systems. Experimental strategies are integrated with computational ap...

    In the field of drug discovery, many methods of molecular modeling have been employed to study the complex biological and chemical systems. Experimental strategies are integrated with computational approaches in the identification, characterization and development of novel drugs and compounds. Molecular Docking is the approach in the modern drug design that explores the confirmation of ligand within the binding site of the macromolecule. To date many software’s and tools for Docking have been employed. AutoDock Vina (in UCSF Chimera) is one of the computationally fast and accurate software employed in Docking. In this paper, a sequential demonstration of molecular Docking of ligand Fisetin with the target protein Akt has been provided, using AutoDock Vina in UCSF Chimera 1.12. The first step involves the target protein ID retrieval from PDB, the second step is to visualize the structure of protein in UCSF Chimera, the third step is to prepare the target protein for Docking, the fourth step is preparing the ligand for docking, the fifth step is the Docking of ligand and the target protein as Mol.2 files in Chimera using AutoDock Vina and the final step is the interpretation and analysis of Docking results. By following the guidelines and the steps used in this paper, the researchers who have no previous background in bioinformatics research can perform computational Docking in a more user-friendly and easy manner.

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