Welcome to the SOMCD home page. SOMCD is a neural network algorithm that estimates the secondary structure composition of a protein from UV circular dichroism data.
The SOMCD method is an update of the k2D algorithm. Improvements include the estimation of more secondary structure elements, as well as the augmentation of the wavelength range (now spanning 190-240nm).
If you use the information provided by this server in your paper, we would be very grateful if you referenced the paper:
Per Unneberg, Juan J. Merelo, Pablo Chacón, Federico Morán, SOMCD: Method for evaluating protein secondary structure from UV circular dichroism spectra, Proteins: Structure, Function, and Genetics, vol. 42, no. 4; pages 460-470; 2001; DOI: 10.1002/1097-0134(20010301)42:4<460::AID-PROT50>3.0.CO;2-U; US: http://dx.doi.org/10.1002/1097-0134(20010301)42:4<460::AID-PROT50>3.0.CO;2-U
You can also download the .bib file
Mail comments to jjmerelo@gmail.com