Random forest prediction of contacts in protein tertiary structure
from primary structure.
PconsC takes protein sequence as input data. Jackhmmer and HHblits
are then used to generate alignments at various levels of
confidence of homology. For each alignment, contact predictions
are made using PSICOV and plmDCA. The combined output is then used
as basis for a random forest evaluation, which produces the final
result.
| Phone: | +46852481531 |
| Email: | click here to contact Arne |
| Address: | Arne Elofsson, Science for Life Laboratory, Box 1031, 17121 Solna, Sweden |
Skwark, M. J., Abdel-Rehim, A., & Elofsson, A. (2013). "PconsC: combination of direct information methods and alignments improves contact prediction". Bioinformatics, 29(14), 1815-1816.0
Skwark M.J., Raimondi D., Michel M.. and Elofsson A. "Improved contact predictions using the recognition of protein like contact patterns". |
