Our Bio-Computation service is offered on two different main levels.
Analytical (PULL) for gaining evidence based information about your molecular system
Analysis of protein primary, secondary and tertiary structure
Analysis of protein sequence according to functional modifications
Analysis of signal structures
Analysis of protein families and domain structures
Analysis of composition, secondary structure, translation efficiency, codon usage
Gene structures
Analysis of gene regulation and transcription factors
Design Software (PUSH) to realise evidence based functional design in your molecular system :
Proprietary software developments for designing genes and gene clusters: Practical core computing performances resulting in final constructs, gene clusters and pathway constructs for your intended application and bio-production oriented process.
Analytical and design requirements are often interweaved processes which need to be developed conceptually to a deep understanding based on all information available. This is based on data mining and informational investigation processes, supported by in house computing as well, and precise annotations.
Our core bio-computing is an in house service. For more sophisticated projects we work in collaboration with high level experts in order to solve your project output requirements.
We analyse your protein by sequence and structure with bio-computational tools in order to find out and discuss with you which opportunities are open for improvement and to add beneficial properties to your protein by design.
(1) providing to you the proper native or artificial genes by design and synthesis
(2) fitting them to the adequate expression system of best choice in respect to function
(3) designing expression towards the specific purpose of the individual application intended
(4) designing optimised perfect genetic control elements for the expression system requirements of choice
In respect to any application you are intending we will design your protein features either by :
(a) rational design by creation of
- fusion of tags, protein domains and/ or
- adding or removal of diverse modification signals or
- altering the primary sequence according to evidence based assumptions
for improvement of function
(b) semi-rationally by design of focussed combinatorial libraries of gene variants or by
(c) in silico directed molecular evolution optimisation