Secondary structure formation and conformational changes play a key role in understanding molecular evolution and its functional aspects. Among DNA, RNA, and Protein, secondary structure analyses of RNA and Proteins have attracted a lot of research and development.
The identification and assignment of functions of unknown macro molecules has been observed to be faster and reliable than the sequence-based methods. This may be due to the structure-based methods which can identify molecules beyond their residues with the help of 3D space. Continue reading “WebFEATURE : Tool to identify and visualize Functional Sites in Macromolecules” »
Active learning is a kind of machine learning. Basically in active learning, a learning algorithm is used to perform the desired experiments to produce a desired output. Continue reading “Active learning in drug-target interactions” »