Navigating the complexities of multi-domain protein folding
Curr Opin Struct Biol. 2024 Mar 2;86:102790. doi: 10.1016/j.sbi.2024.102790. Online ahead of print.ABSTRACTProteome complexity has expanded tremendously over evolutionary time, enabling biological diversification. Much of this complexity is achieved by combining a limited set of structural units into long polypeptides. This widely used evolutionary strategy poses challenges for folding of the resulting multi-domain proteins. As a consequence, their folding differs from that of small single-domain proteins, which generally fold quickly and reversibly. Co-translational processes and chaperone interactions are important aspec...
Source: Current Opinion in Structural Biology - March 3, 2024 Category: Biology Authors: Nandakumar Rajasekaran Christian M Kaiser Source Type: research

Navigating the complexities of multi-domain protein folding
Curr Opin Struct Biol. 2024 Mar 2;86:102790. doi: 10.1016/j.sbi.2024.102790. Online ahead of print.ABSTRACTProteome complexity has expanded tremendously over evolutionary time, enabling biological diversification. Much of this complexity is achieved by combining a limited set of structural units into long polypeptides. This widely used evolutionary strategy poses challenges for folding of the resulting multi-domain proteins. As a consequence, their folding differs from that of small single-domain proteins, which generally fold quickly and reversibly. Co-translational processes and chaperone interactions are important aspec...
Source: Current Opinion in Structural Biology - March 3, 2024 Category: Biology Authors: Nandakumar Rajasekaran Christian M Kaiser Source Type: research

NMR tools to detect protein allostery
Curr Opin Struct Biol. 2024 Feb 29;86:102792. doi: 10.1016/j.sbi.2024.102792. Online ahead of print.ABSTRACTAllostery is a fundamental mechanism of cellular homeostasis by intra-protein communication between distinct functional sites. It is an internal process of proteins to steer interactions not only with each other but also with other biomolecules such as ligands, lipids, and nucleic acids. In addition, allosteric regulation is particularly important in enzymatic activities. A major challenge in structural and molecular biology today is unraveling allosteric sites in proteins, to elucidate the detailed mechanism of allo...
Source: Current Opinion in Structural Biology - March 1, 2024 Category: Biology Authors: Olivia Gampp Harindranath Kadavath Roland Riek Source Type: research

NMR tools to detect protein allostery
Curr Opin Struct Biol. 2024 Feb 29;86:102792. doi: 10.1016/j.sbi.2024.102792. Online ahead of print.ABSTRACTAllostery is a fundamental mechanism of cellular homeostasis by intra-protein communication between distinct functional sites. It is an internal process of proteins to steer interactions not only with each other but also with other biomolecules such as ligands, lipids, and nucleic acids. In addition, allosteric regulation is particularly important in enzymatic activities. A major challenge in structural and molecular biology today is unraveling allosteric sites in proteins, to elucidate the detailed mechanism of allo...
Source: Current Opinion in Structural Biology - March 1, 2024 Category: Biology Authors: Olivia Gampp Harindranath Kadavath Roland Riek Source Type: research

Editorial overview: Folding and Binding (2024)
Curr Opin Struct Biol. 2024 Feb 27;86:102791. doi: 10.1016/j.sbi.2024.102791. Online ahead of print.NO ABSTRACTPMID:38417184 | DOI:10.1016/j.sbi.2024.102791 (Source: Current Opinion in Structural Biology)
Source: Current Opinion in Structural Biology - February 28, 2024 Category: Biology Authors: H Jane Dyson Peter E Wright Source Type: research

Editorial overview: Folding and Binding (2024)
Curr Opin Struct Biol. 2024 Feb 27;86:102791. doi: 10.1016/j.sbi.2024.102791. Online ahead of print.NO ABSTRACTPMID:38417184 | DOI:10.1016/j.sbi.2024.102791 (Source: Current Opinion in Structural Biology)
Source: Current Opinion in Structural Biology - February 28, 2024 Category: Biology Authors: H Jane Dyson Peter E Wright Source Type: research

Editorial overview: Folding and Binding (2024)
Curr Opin Struct Biol. 2024 Feb 27;86:102791. doi: 10.1016/j.sbi.2024.102791. Online ahead of print.NO ABSTRACTPMID:38417184 | DOI:10.1016/j.sbi.2024.102791 (Source: Current Opinion in Structural Biology)
Source: Current Opinion in Structural Biology - February 28, 2024 Category: Biology Authors: H Jane Dyson Peter E Wright Source Type: research

Deep learning in modeling protein complex structures: From contact prediction to end-to-end approaches
This article reviews the recent advances of deep-learning-based approaches in modeling protein-protein complex structures as well as their advantages and limitations. Challenges and possible future directions are also briefly discussed in applying deep learning for the prediction of protein complex structures.PMID:38402744 | DOI:10.1016/j.sbi.2024.102789 (Source: Current Opinion in Structural Biology)
Source: Current Opinion in Structural Biology - February 25, 2024 Category: Biology Authors: Peicong Lin Hao Li Sheng-You Huang Source Type: research

Deep learning in modeling protein complex structures: From contact prediction to end-to-end approaches
This article reviews the recent advances of deep-learning-based approaches in modeling protein-protein complex structures as well as their advantages and limitations. Challenges and possible future directions are also briefly discussed in applying deep learning for the prediction of protein complex structures.PMID:38402744 | DOI:10.1016/j.sbi.2024.102789 (Source: Current Opinion in Structural Biology)
Source: Current Opinion in Structural Biology - February 25, 2024 Category: Biology Authors: Peicong Lin Hao Li Sheng-You Huang Source Type: research

Deep learning in modeling protein complex structures: From contact prediction to end-to-end approaches
This article reviews the recent advances of deep-learning-based approaches in modeling protein-protein complex structures as well as their advantages and limitations. Challenges and possible future directions are also briefly discussed in applying deep learning for the prediction of protein complex structures.PMID:38402744 | DOI:10.1016/j.sbi.2024.102789 (Source: Current Opinion in Structural Biology)
Source: Current Opinion in Structural Biology - February 25, 2024 Category: Biology Authors: Peicong Lin Hao Li Sheng-You Huang Source Type: research

Helical reconstruction, again
Curr Opin Struct Biol. 2024 Feb 23;85:102788. doi: 10.1016/j.sbi.2024.102788. Online ahead of print.ABSTRACTMany protein and nucleoprotein complexes exist as helical polymers. As a result, much effort has been invested in developing methods for using electron microscopy to determine the structure of these assemblies. With the revolution in cryo-electron microscopy (cryo-EM), it has now become routine to reach a near-atomic level of resolution for these structures, and it is the exception when this is not possible. However, the greatest challenge is frequently determining the correct symmetry. This review focuses on why thi...
Source: Current Opinion in Structural Biology - February 24, 2024 Category: Biology Authors: Edward H Egelman Source Type: research

Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19
Curr Opin Struct Biol. 2024 Feb 15;85:102778. doi: 10.1016/j.sbi.2024.102778. Online ahead of print.ABSTRACTSince the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the rapid spread of the virus, and enhance intervention outcomes, all in response to this unprecedented global crisis. As we transition into a post-COVID era, we retrospectively evaluate these proposed studies and offer a review of the techniques employed in AI diagnostic models, with a fo...
Source: Current Opinion in Structural Biology - February 16, 2024 Category: Biology Authors: Yingying Fang Xiaodan Xing Shiyi Wang Simon Walsh Guang Yang Source Type: research

Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19
Curr Opin Struct Biol. 2024 Feb 15;85:102778. doi: 10.1016/j.sbi.2024.102778. Online ahead of print.ABSTRACTSince the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the rapid spread of the virus, and enhance intervention outcomes, all in response to this unprecedented global crisis. As we transition into a post-COVID era, we retrospectively evaluate these proposed studies and offer a review of the techniques employed in AI diagnostic models, with a fo...
Source: Current Opinion in Structural Biology - February 16, 2024 Category: Biology Authors: Yingying Fang Xiaodan Xing Shiyi Wang Simon Walsh Guang Yang Source Type: research

Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19
Curr Opin Struct Biol. 2024 Feb 15;85:102778. doi: 10.1016/j.sbi.2024.102778. Online ahead of print.ABSTRACTSince the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the rapid spread of the virus, and enhance intervention outcomes, all in response to this unprecedented global crisis. As we transition into a post-COVID era, we retrospectively evaluate these proposed studies and offer a review of the techniques employed in AI diagnostic models, with a fo...
Source: Current Opinion in Structural Biology - February 16, 2024 Category: Biology Authors: Yingying Fang Xiaodan Xing Shiyi Wang Simon Walsh Guang Yang Source Type: research

Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19
Curr Opin Struct Biol. 2024 Feb 15;85:102778. doi: 10.1016/j.sbi.2024.102778. Online ahead of print.ABSTRACTSince the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the rapid spread of the virus, and enhance intervention outcomes, all in response to this unprecedented global crisis. As we transition into a post-COVID era, we retrospectively evaluate these proposed studies and offer a review of the techniques employed in AI diagnostic models, with a fo...
Source: Current Opinion in Structural Biology - February 16, 2024 Category: Biology Authors: Yingying Fang Xiaodan Xing Shiyi Wang Simon Walsh Guang Yang Source Type: research