Elucidating the functional roles of prokaryotic proteins using big data and artificial intelligence
Annotating protein sequences according to their biological functions is one of the key steps
in understanding microbial diversity, metabolic potentials, and evolutionary histories …
in understanding microbial diversity, metabolic potentials, and evolutionary histories …
[HTML][HTML] Protein subcellular localization prediction tools
M Gillani, G Pollastri - Computational and Structural Biotechnology Journal, 2024 - Elsevier
Protein subcellular localization prediction is of great significance in bioinformatics and
biological research. Most of the proteins do not have experimentally determined localization …
biological research. Most of the proteins do not have experimentally determined localization …
[HTML][HTML] Machine learning: a suitable method for biocatalysis
PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
[HTML][HTML] Integrative Bioinformatics Approaches Indicate a Particular Pattern of Some SARS-CoV-2 and Non-SARS-CoV-2 Proteins
Pattern recognition plays a critical role in integrative bioinformatics to determine the
structural patterns of proteins of viruses such as SARS-CoV-2. This study identifies the …
structural patterns of proteins of viruses such as SARS-CoV-2. This study identifies the …
Protein Structural Prediction based on hybridization of PSOFFA and CNN-BILSTM
S Kaur, J Kaur, A Sharma, R Kaur - … Conference on Computing …, 2022 - ieeexplore.ieee.org
Protein can be grouped in various classes like A (All±), B (All 2), C (±+ 2), and D (±/2).
Numerous academics are working to increase the prediction accuracy, the fundamental …
Numerous academics are working to increase the prediction accuracy, the fundamental …
[HTML][HTML] Energy Profile Bayes and Thompson Optimized Convolutional Neural Network protein structure prediction
V Nallasamy, M Seshiah - Neural Computing and Applications, 2023 - Springer
In living organisms, proteins are considered as the executants of biological functions. Owing
to its pivotal role played in protein folding patterns, comprehension of protein structure is a …
to its pivotal role played in protein folding patterns, comprehension of protein structure is a …
Progress and Research Trends of Artificial Intelligence Incorporation in Protein Structure Prediction
M Lau - 2024 IEEE 3rd International Conference on Computing …, 2024 - ieeexplore.ieee.org
Protein synthesis is closely regulated in nature, and in the field of protein design, scientists
have attempted to understand and replicate those processes due to the importance of …
have attempted to understand and replicate those processes due to the importance of …
[PDF][PDF] Machine Learning: A Suitable Method for Biocatalysis. Catalysts 2023, 13, 961
PS Sampaio, P Fernandes - 2023 - researchgate.net
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …