Computer Aided Protein Structure Prediction; Identification of Vaccine
Candidates (T-Epitope prediction); Analysis of Nucleotide/Protein Sequences; Development of Web Server/
Software; Creation of Public Domain Resources in Biology
Present...
I would like to invite everyone interested in the subject of machine learning in life science, to test APMC module,
it`s a fully automatic tool (created by students) to simply create and develop supervised machine learning models
for...
github.com - The RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox 2 is a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models (GEMs). It makes use of published models and/or KEGG, MetaCyc...
biosciences.hs-mittweida.de - Protein structures are of varying quality. Especially, in-silico modeled structures are prone to contain serious errors, which limit the usefulness and reliability of these particular protein structures.eQuant is a service for structure...
zhanglab.ccmb.med.umich.edu - STRUM is a method for predicting the fold stability change (ΔΔG) of protein molecules upon single-point nsSNP mutations. STRUM adopts a gradient boosting regression approch to train the Gibbs free-energy changes on a variety of features...
PhD student / Bio-informatician in computational protein modeling
Job Profile
You will perform research on drug/protein interaction analysis in the context of lung cancer, using computational protein modeling. You will implement existing models...
Sandelin group have a deep interest in most biology, but focus on gene regulation and the many areas that are connected with this, including transcriptomics, epigenetics and technological and informatics aspects.
The group is both computational...
The main theme of our research is the understanding of how genetic information is decoded from DNA into RNA and proteins. Someone may find this topic a little strange and argue that we already know how this is happening.
Translational recoding....