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Optogenetic enzymes: A deep dive into design and impact
Optogenetically regulated enzymes offer unprecedented spatiotemporal control over protein activity, intermolecular interac...
Frustration, dynamics, and catalysis
The first proposal of the origins of the catalytic power of enzymes came almost 100 years ago, when Haldane posited that e...
Global dynamics behind enzyme catalysis, evolution, and design
Enzymes are inherently dynamic systems, with their catalytic efficiency closely tied to coordinated internal motions that ...
Generative AI techniques for conformational diversity and evolutionary adaptation of proteins
The advent of AlphaFold and consumer large language models have elicited unprecedented development of artificial intellige...
Functional sub-states link conformational landscapes and protein evolution
The intrinsic conformational flexibility of proteins creates structural heterogeneity, giving rise to conformational ensem...
Artificial intelligence in therapeutic antibody design: Advances and future prospects
The global pharmaceutical market is increasingly driven by antibody-based therapeutics and various antibody-integrated mod...
Editorial overview: Protein folding and binding — With a little help from AI
Yana Bromberg received her PhD in Biomedical Informatics from Columbia University (NYC, USA). She then joined the State Un...
HDX-MS in micelles and membranes for small molecule and biopharmaceutical development
While protein characterisation is critical for continuing drug discovery and development, many techniques fall short of ca...
The influence of lipids and biological membranes on the conformational equilibria of GPCRs: Insights from NMR spectroscopy
G protein-coupled receptors (GPCRs) are crucial sensory integral membrane proteins. Earlier structural and biophysical stu...
Review: Membrane protein nanodiscs for antibody discovery
Membrane proteins, which make up approximately 30% of all proteins encoded by the human genome, represent more than 60% of...
HIV-1 gp160 in nanodiscs: Unravelling structures and guiding vaccine design
The HIV-1 gp160 trimer is a crucial mediator of viral entry and a primary target in HIV vaccine design, as numerous broadl...
Advances in native cell membrane nanoparticles system
The native cell membrane nanoparticles (NCMN) system utilizes membrane-active polymers specifically designed and optimized...
Databases and web-based tools for studying structures of protein-nucleic acid complexes
Structural data on protein-DNA and protein-RNA interactions are indispensable in molecular biology research. In this artic...
Prediction of nucleic acid binding residues in protein sequences: Recent advances and future prospects
Numerous cellular functions, such as transcription, translation, DNA replication and repair, and gene regulation, rely on ...
Applications of high-throughput reporter assays to gene regulation studies
Gene expression programs are controlled by the binding of transcription factors (TFs) to cis-regulatory elements (CREs) su...
Evolution of protein-RNA interactions
Since the Hadean–Eoarchaean era of Earth’s history, peptides/proteins and RNA have undergone a complex evolutionary trajec...
Advances in Protein-RNA aptamer recognition and modeling: Current trends and future perspectives
RNA aptamers are single-stranded oligonucleotides ranging from 20 to 80 bases in length [1,2]. Their remarkable ability to...
Modeling flexible RNA 3D structures and RNA-protein complexes
RNA and RNA–protein (RNP) complexes are central to many cellular processes, but the determination of their structures rema...
Large-scale protein clustering in the age of deep learning
Proteins within a family sharing sequence and structure similarity due to a common evolutionary origin often also share fu...
Editorial overview of 3D genome chromatin organization and regulation
Yuan He received his PhD in Biochemistry and Biophysics from Northwestern University, utilizing nuclear magnetic resonance...
Nexus between RNA conformational dynamics and functional versatility
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Empowering the molecular ruler techniques with unnatural base pair system to explore conformational dynamics of flaviviral RNAs
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Conformational penalties: New insights into nucleic acid recognition
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Using residue interaction networks to understand protein function and evolution and to engineer new proteins
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Engineering the native ensemble to tune protein function: Diverse mutational strategies and interlinked molecular mechanisms
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Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
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Biochemistry and genetics are coming together to improve our understanding of genotype to phenotype relationships
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Characterizing heterogeneity in amyloid formation processes
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Non-canonical amino acids for site-directed spin labeling of membrane proteins
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Characterizing protein-protein interactions with thermal proteome profiling
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