Computational analysis of proteins, sequences, structures, and molecular representations for biological research.
Work can involve protein representation, structural features, sequence-structure relationships, prediction, clustering, and machine learning.
Applications include protein characterization, structural analysis, molecular prioritization, and computational biology research.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.