Homology model and docking-based virtual screening for ligands of human dyskerin as new inhibitors of telomerase for cancer treatment
RG Armando, DL Mengual Gómez, EI Juritz… - International Journal of …, 2018 - mdpi.com
Immortality is one of the main features of cancer cells. Tumor cells have an unlimited
replicative potential, principally due to the holoenzyme telomerase. Telomerase is …
replicative potential, principally due to the holoenzyme telomerase. Telomerase is …
[HTML][HTML] Predicting protein therapeutic candidates for bovine babesiosis using secondary structure properties and machine learning
SJ Goodswen, PJ Kennedy, JT Ellis - Frontiers in Genetics, 2021 - frontiersin.org
Bovine babesiosis causes significant annual global economic loss in the beef and dairy
cattle industry. It is a disease instigated from infection of red blood cells by haemoprotozoan …
cattle industry. It is a disease instigated from infection of red blood cells by haemoprotozoan …
SPOT‐Fold: Fragment‐Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map
Protein structure determination has long been one of the most challenging problems in
molecular biology for the past 60 years. Here we present an ab initio protein tertiary …
molecular biology for the past 60 years. Here we present an ab initio protein tertiary …
A new deep neighbor residual network for protein secondary structure prediction
A protein secondary structure defines the local conformation of the protein's polypeptide
backbone, which provides important information for protein 3D structure prediction and …
backbone, which provides important information for protein 3D structure prediction and …
Predicting the effects of mutations on protein solubility using graph convolution network and protein language model representation
Solubility is one of the most important properties of protein. Protein solubility can be greatly
changed by single amino acid mutations and the reduced protein solubility could lead to …
changed by single amino acid mutations and the reduced protein solubility could lead to …
Computational Prediction of Carbohydrate‐Binding Proteins and Binding Sites
Protein‐carbohydrate interaction is essential for biological systems, and carbohydrate‐
binding proteins (CBPs) are important targets when designing antiviral and anticancer …
binding proteins (CBPs) are important targets when designing antiviral and anticancer …
PupStruct: prediction of pupylated lysine residues using structural properties of amino acids
Post-translational modification (PTM) is a critical biological reaction which adds to the
diversification of the proteome. With numerous known modifications being studied …
diversification of the proteome. With numerous known modifications being studied …
DL-TCNN: Deep Learning-based Temporal Convolutional Neural Network for prediction of conformational B-cell epitopes
Prediction of conformational B-cell epitopes (CBCE) is an essential phase for vaccine
design, drug invention, and accurate disease diagnosis. Many laboratorial and …
design, drug invention, and accurate disease diagnosis. Many laboratorial and …
IDP-LZerD: software for modeling disordered protein interactions
C Christoffer, D Kihara - Protein Structure Prediction, 2020 - Springer
Modeling the tertiary structure of protein–protein interaction complex has been well studied
over many years, especially in the case where the structures of both binding partners are …
over many years, especially in the case where the structures of both binding partners are …
Predicting the errors of predicted local backbone angles and non-local solvent-accessibilities of proteins by deep neural networks
Motivation: Backbone structures and solvent accessible surface area of proteins are
benefited from continuous real value prediction because it removes the arbitrariness of …
benefited from continuous real value prediction because it removes the arbitrariness of …