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 …
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 …
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
Disulfide connectivity is an important protein structural characteristic. Accurately predicting
disulfide connectivity solely from protein sequence helps to improve the intrinsic …
disulfide connectivity solely from protein sequence helps to improve the intrinsic …
On the encoding of proteins for disordered regions prediction
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 …
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 …
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 …
of experimentally determined protein structures indicate an enormous necessity of rapid and …
Probabilistic divergence of a TBM methodology from the ideal protocol
A Runthala - Bior** of a functional protein
network. For a higher modelling accuracy and quicker implementation, template based …
network. For a higher modelling accuracy and quicker implementation, template based …
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 …
expensive process. Nowadays, supervised machine learning techniques are widely used to …