Special Issue on Mathematical and Statistical Modeling of Biological Systems

Submission Deadline: Jul. 10, 2020

Please click the link to know more about Manuscript Preparation: http://www.advinbio.org/submission

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Mostafa Abo Elsoud
      Microbial biotechnology, Giza, Al Jizah, Egypt
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Enas Mostafa
      Biotechnology and Genetic Engineering Pilot Plant Unit, National Research Centre, Giza, Egypt
    • Mohammed Ibrahim
      Biotechnology and Genetic Engineering Pilot Plant Unit, National Research Centre, Giza, Egypt
    • Ahmed Gabr
      Plant Biotechnology Department, National Research Centre, Giza, Egypt
    • Abdullah Adel
      Pharmaceutical industry research division, National Research Centre, Giza, Egypt
    • Snehasis Jana
      Trivedi Science Research Laboratory Pvt. Ltd, Bhopal, Madhya Pradesh, India
    • Ijege Odigiri
      Department of Applied Sciences, Kaduna Polytechnic, Kaduna, Nigeria
    • Mukesh Chander
      P. G. Department of Biotechnology, Khalsa College (Autonomous, an Affiliate of Guru Nanak Dev University), Amritsar, Punjab, India
  • Introduction

    In most industrial biotechnology, the optimization of any process conditions is generally done by varying one factor at a time approach. This approach is simple, easy and understandable by general practitioners. However, this strategy is laborious and time consuming, especially for a large number of variables and often do not consider interactions among variables. Individual and interactive effects enable each reaction parameter to be optimized in coherence with others. Alternatively, mathematical modeling can be used. Mathematical models are tools that we can use to describe the past performance and predict the future performance of biotechnological processes. They can be applied to processes operating at many different levels, from shake flask to the commercial/industrial scale. Mathematical models can be powerful tools in both fundamental research and applied research and development. Mathematical modeling has become an important tool to understand and unravel biological complexity. Mathematical and statistical modeling became an important tool for conducting researches concerning hazard and toxic materials and costly researches. Through this special issue, we aim to illustrate the processes of mathematical and statistical modeling in biotechnological systems using real experiments and results. Also, we aim to discuss the processes in the light of the obtained results from the mathematical and statistical models.

    Aims and Scope:

    1. Make Mathematical modeling more familiar
    2. New trends in Biotechnology
    3. Methods of Bioprocess improvement
    4. Role of engineering in biological science
    5. Opening the road for the emerging biotechnologies
    6. Conclusions based on Mathematical models

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.advinbio.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.