• Custom development of state-of-the-art scientific concepts addressing client-specific questions and problems in pharma, diagnostics, and biotech industry, ready for implementation.
• Collaboration in full discretion; no need for the customer to become visible.
• Configuration and execution of pilot studies as implementation of new scientific concepts building on a comprehensive network of academic experts, research groups, research institutes, and biotech as well as life sciences technology companies.
• Configuration and execution of feasibility and proof-of-concept studies including the realization of technological prototype solutions as a basis for practical assessment.
• Scientific consulting for the implementation of innovative scientific concepts and technologies.

Mapping and monitoring of

• Microbial and cellular communication
• System-biological states of dysfunction (disease biology)
• Hologenomic ecosystem dynamics (microbial dysbiosis)
• Rheostatic and allostatic response

Identification of molecular players as biomarkers and biomarker profiles

• Regulatory and structural molecular entities

1. 1. noncoding nucleotides
   2. structural RNAs

• Functional molecular entities

1. mRNAs
2. proteins

Therapeutic concepts and molecular active principles

• Prediction of target structures and interactions

1. Modeling of affinity and specificity
2. Structural stability assessment

• Molecular design

1. Structure/activity relationships
2. Lead structure analysis and comparison

Modeling and simulation of

• Pharmacokinetic systems (ADME)

1. drug absorption
2. drug distribution
3. drug metabolization and elimination
4. drug potency prediction
5. drug delivery systems

• Pharmakodynamic systems

1. physiologic response
2. systems biological response

• Bioinformatics and biocomputing

1. biomolecular structure analysis
2. structure prediction

• Translational pharmacology analyses of experimental data

1. computational pharmacologic animal models
2. computational pharmacologic organoid models
3. computational pharmacologic tissue models
4. allometric scaling of pharmacological parameters
5. deduction of human dosage regimes

• Molecular systems modeling

1. biological systems modeling
2. polymer modeling

• Data mining
• Knowledge engineering
• Biostatistics

Configuration, organization, and execution of

• Pilot studies
• Feasibility studies
• Proof-of-principle studies
• Proof-of-concept studies