TY - JOUR AU - Perdigão, Nelson AU - Rosa, Agostinho C. AU - O’Donoghue, Seán I. PY - 2017 DA - 2017/07/20 TI - The Dark Proteome Database JO - BioData Mining SP - 24 VL - 10 IS - 1 AB - Recently we surveyed the dark-proteome, i.e., regions of proteins never observed by experimental structure determination and inaccessible to homology modelling. Surprisingly, we found that most of the dark proteome could not be accounted for by conventional explanations (e.g., intrinsic disorder, transmembrane domains, and compositional bias), and that nearly half of the dark proteome comprised dark proteins, in which the entire sequence lacked similarity to any known structure. In this paper we will present the Dark Proteome Database (DPD) and associated web services that provide access to updated information about the dark proteome. SN - 1756-0381 UR - https://doi.org/10.1186/s13040-017-0144-6 DO - 10.1186/s13040-017-0144-6 ID - Perdigão2017 ER -