TY - JOUR AU - Srinivasulu, Yerukala Sathipati AU - Wang, Jyun-Rong AU - Hsu, Kai-Ti AU - Tsai, Ming-Ju AU - Charoenkwan, Phasit AU - Huang, Wen-Lin AU - Huang, Hui-Ling AU - Ho, Shinn-Ying PY - 2015 DA - 2015/12/09 TI - Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes JO - BMC Bioinformatics SP - S14 VL - 16 IS - 18 AB - Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been developed for predicting the binding affinity of protein-protein complexes based on structure and functional information. This work aims to predict the binding affinity of heterodimeric protein complexes from sequences only. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-16-S18-S14 DO - 10.1186/1471-2105-16-S18-S14 ID - Srinivasulu2015 ER -