Bacterial thiol oxidoreductases—from basic research to new antibacterial strategies

KM Bocian-Ostrzycka, MJ Grzeszczuk… - Applied Microbiology …, 2017 - Springer
The recent, rapid increase in bacterial antimicrobial resistance has become a major public
health concern. One approach to generate new classes of antibacterials is targeting …

Soft computing methods for disulfide connectivity prediction

AE Márquez-Chamorro… - Evolutionary …, 2015 - journals.sagepub.com
The problem of protein structure prediction (PSP) is one of the main challenges in structural
bioinformatics. To tackle this problem, PSP can be divided into several subproblems. One of …

Disulfide connectivity prediction based on modelled protein 3D structural information and random forest regression

DJ Yu, Y Li, J Hu, X Yang, JY Yang… - IEEE/ACM transactions …, 2014 - ieeexplore.ieee.org
Disulfide connectivity is an important protein structural characteristic. Accurately predicting
disulfide connectivity solely from protein sequence helps to improve the intrinsic …

On the encoding of proteins for disordered regions prediction

J Becker, F Maes, L Wehenkel - PloS one, 2013 - journals.plos.org
Disordered regions, ie, regions of proteins that do not adopt a stable three-dimensional
structure, have been shown to play various and critical roles in many biological processes …

Probabilistic divergence of a template-based modelling methodology from the ideal protocol

A Runthala - Journal of Molecular Modeling, 2021 - Springer
Protein structural information is essential for the detailed map** of a functional protein
network. For a higher modelling accuracy and quicker implementation, template-based …

Protein structure prediction

HJ Chakraborty, A Gangopadhyay… - Applying big data …, 2018 - igi-global.com
The great disagreement between the number of known protein sequences and the number
of experimentally determined protein structures indicate an enormous necessity of rapid and …

Protein Structural Annotation: Multi-Task Learning and Feature Selection

J Becker - 2013 - search.proquest.com
Experimentally determining the three-dimensional structure of a protein is a slow and
expensive process. Nowadays, supervised machine learning techniques are widely used to …