A brief history of protein sorting prediction
Ever since the signal hypothesis was proposed in 1971, the exact nature of signal peptides
has been a focus point of research. The prediction of signal peptides and protein subcellular …
has been a focus point of research. The prediction of signal peptides and protein subcellular …
[HTML][HTML] Membrane proteins structures: A review on computational modeling tools
Abstract Background Membrane proteins (MPs) play diverse and important functions in
living organisms. They constitute 20% to 30% of the known bacterial, archaean and …
living organisms. They constitute 20% to 30% of the known bacterial, archaean and …
BUSCA: an integrative web server to predict subcellular localization of proteins
Here, we present BUSCA (http://busca. biocomp. unibo. it), a novel web server that
integrates different computational tools for predicting protein subcellular localization …
integrates different computational tools for predicting protein subcellular localization …
Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …
DeepSig: deep learning improves signal peptide detection in proteins
Motivation The identification of signal peptides in protein sequences is an important step
toward protein localization and function characterization. Results Here, we present DeepSig …
toward protein localization and function characterization. Results Here, we present DeepSig …
Identification of OmpA, a Coxiella burnetii Protein Involved in Host Cell Invasion, by Multi-Phenotypic High-Content Screening
E Martinez, F Cantet, L Fava, I Norville… - PLoS …, 2014 - journals.plos.org
Coxiella burnetii is the agent of the emerging zoonosis Q fever. This pathogen invades
phagocytic and non-phagocytic cells and uses a Dot/Icm secretion system to co-opt the …
phagocytic and non-phagocytic cells and uses a Dot/Icm secretion system to co-opt the …
Extreme learning machines on high dimensional and large data applications: a survey
Extreme learning machine (ELM) has been developed for single hidden layer feedforward
neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the …
neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the …
Computational modeling of membrane proteins
J Koehler Leman, MB Ulmschneider… - … Structure, Function, and …, 2015 - Wiley Online Library
The determination of membrane protein (MP) structures has always trailed that of soluble
proteins due to difficulties in their overexpression, reconstitution into membrane mimetics …
proteins due to difficulties in their overexpression, reconstitution into membrane mimetics …
PRED-TMBB2: improved topology prediction and detection of beta-barrel outer membrane proteins
Abstract Motivation The PRED-TMBB method is based on Hidden Markov Models and is
capable of predicting the topology of beta-barrel outer membrane proteins and discriminate …
capable of predicting the topology of beta-barrel outer membrane proteins and discriminate …
Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins
Accurate topology prediction of transmembrane β-barrels is still an open question. Here, we
present BOCTOPUS2, an improved topology prediction method for transmembrane β …
present BOCTOPUS2, an improved topology prediction method for transmembrane β …