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Prof. Ramit Mehr, PhD Faculty
of Life Sciences, Bldg
212 Phone
03-531-7990 FAX
03-535-1824 E-mail
mehrra@mail.biu.ac.il |
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Students: Please contact me by email in English ìúéàåí ôâéùä éù ìùìåç
îééì îøàù – øöåé áàðâìéú |
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Click here: For information re Post-Doctoral
Training, PhD or MSc studies, or Computational Biology final
projects in our
lab.
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Research
Topics:
My group performs
research in computational immunology.
We use mathematical models, computer
simulations and bioinformatical analyses, in order to understand
the dynamics of lymphocyte repertoires in the immune system. The immune
response involves cells of various types, including B, T and NK lymphocytes
expressing a large diversity of receptors which recognize foreign antigens and
self-molecules. The various cell types interact through a complicated network
of communication, regulation and control mechanisms. This is what enables the
immune system to perform the functions of danger recognition, decision, action,
memory and learning. The dynamics of immune cell repertoires are, as a result,
highly complex and non-linear. My lab members develop various theoretical tools
– mathematical models, computer simulations and novel bioinformatical methods –
in order to analyze the dynamics of the immune system in various situations and
predict the results of experimental and medical interventions.
Examples of
recent and current research topics:
* Models and
simulations of the dynamics of the development of T and B lymphocytes, the rearrangement of
B cell and T cell antigen receptor genes, and
subsequent selection, which is based on receptor-ligand interactions.
* Studies of the
competition between B lymphocyte clones during the humoral immune response, the
process of hypermutation and the creation of memory cells, including the
explanation of the phenomenon of repertoire
shift, isotype switch, and graph-theoretical
analysis of B lymphocyte immunoglobulin gene phylogenetic trees.
The Mina and
Everard Goodman Faculty of Life Sciences
Society of
Mathematical Biology - Includes many useful links!
Resources for Women Scientists