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Hot spots-making directed evolution easier
Directed evolution has emerged as a powerful strategy to engineer various properties of
proteins. Traditional methods to construct libraries such as error-prone PCR and DNA …
proteins. Traditional methods to construct libraries such as error-prone PCR and DNA …
Protein flexibility in the light of structural alphabets
Protein structures are valuable tools to understand protein function. Nonetheless, proteins
are often considered as rigid macromolecules while their structures exhibit specific flexibility …
are often considered as rigid macromolecules while their structures exhibit specific flexibility …
iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition
Heat shock proteins (HSPs) are a type of functionally related proteins present in all living
organisms, both prokaryotes and eukaryotes. They play essential roles in protein–protein …
organisms, both prokaryotes and eukaryotes. They play essential roles in protein–protein …
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks
World widely, Fungal infections have become a serious issue for human beings. Fungal
infections normally happen once invading fungus appear on a specific area of the body and …
infections normally happen once invading fungus appear on a specific area of the body and …
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space
Cancer is a fatal disease, responsible for one-quarter of all deaths in developed countries.
Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive …
Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive …
RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information
RNA-protein complexes are essential in mediating important fundamental cellular
processes, such as transport and localization. In particular, ncRNA-protein interactions play …
processes, such as transport and localization. In particular, ncRNA-protein interactions play …
iBLP: An XGBoost‐Based Predictor for Identifying Bioluminescent Proteins
Bioluminescent proteins (BLPs) are a class of proteins that widely distributed in many living
organisms with various mechanisms of light emission including bioluminescence and …
organisms with various mechanisms of light emission including bioluminescence and …
Biotite: a unifying open source computational biology framework in Python
P Kunzmann, K Hamacher - BMC bioinformatics, 2018 - Springer
Background As molecular biology is creating an increasing amount of sequence and
structure data, the multitude of software to analyze this data is also rising. Most of the …
structure data, the multitude of software to analyze this data is also rising. Most of the …
Extension of the classical classification of β-turns
AG de Brevern - Scientific reports, 2016 - nature.com
The functional properties of a protein primarily depend on its three-dimensional (3D)
structure. These properties have classically been assigned, visualized and analysed on the …
structure. These properties have classically been assigned, visualized and analysed on the …
Predicting protein flexibility through the prediction of local structures
Protein structures are valuable tools for understanding protein function. However, protein
dynamics is also considered a key element in protein function. Therefore, in addition to …
dynamics is also considered a key element in protein function. Therefore, in addition to …