Electrostatic interactions in protein structure, folding, binding, and condensation
Charged and polar groups, through forming ion pairs, hydrogen bonds, and other less
specific electrostatic interactions, impart important properties to proteins. Modulation of the …
specific electrostatic interactions, impart important properties to proteins. Modulation of the …
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …
on various factors. Data‐driven computational methods, especially machine learning (ML) …
StackDPPred: a stacking based prediction of DNA-binding protein from sequence
Motivation Identification of DNA-binding proteins from only sequence information is one of
the most challenging problems in the field of genome annotation. DNA-binding proteins play …
the most challenging problems in the field of genome annotation. DNA-binding proteins play …
PredT4SE-stack: prediction of bacterial type IV secreted effectors from protein sequences using a stacked ensemble method
Gram-negative bacteria use various secretion systems to deliver their secreted effectors.
Among them, type IV secretion system exists widely in a variety of bacterial species, and …
Among them, type IV secretion system exists widely in a variety of bacterial species, and …
A novel model for malaria prediction based on ensemble algorithms
M Wang, H Wang, J Wang, H Liu, R Lu, T Duan… - PloS one, 2019 - journals.plos.org
Background and objective Most previous studies adopted single traditional time series
models to predict incidences of malaria. A single model cannot effectively capture all the …
models to predict incidences of malaria. A single model cannot effectively capture all the …
PseUI: Pseudouridine sites identification based on RNA sequence information
J He, T Fang, Z Zhang, B Huang, X Zhu, Y **ong - BMC bioinformatics, 2018 - Springer
Background Pseudouridylation is the most prevalent type of posttranscriptional modification
in various stable RNAs of all organisms, which significantly affects many cellular processes …
in various stable RNAs of all organisms, which significantly affects many cellular processes …
Incorporating distance-based top-n-gram and random forest to identify electron transport proteins
X Ru, L Li, Q Zou - Journal of Proteome Research, 2019 - ACS Publications
Cellular respiration provides direct energy substances for living organisms. Electron storage
and transportation should be completed through electron transport chains during the cellular …
and transportation should be completed through electron transport chains during the cellular …
PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm
Combinatorial therapy is a promising strategy for combating complex diseases by improving
the efficacy and reducing the side effects. To facilitate the identification of drug combinations …
the efficacy and reducing the side effects. To facilitate the identification of drug combinations …
Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation
Background DNA-binding proteins play a pivotal role in various intra-and extra-cellular
activities ranging from DNA replication to gene expression control. Identification of DNA …
activities ranging from DNA replication to gene expression control. Identification of DNA …
Improving DNA-binding protein prediction using three-part sequence-order feature extraction and a deep neural network algorithm
Identification of the DNA-binding protein (DBP) helps dig out information embedded in the
DNA–protein interaction, which is significant to understanding the mechanisms of DNA …
DNA–protein interaction, which is significant to understanding the mechanisms of DNA …