Exploring treatment options in cancer: tumor treatment strategies

B Liu, H Zhou, L Tan, KTH Siu, XY Guan - Signal transduction and …, 2024 - nature.com
Traditional therapeutic approaches such as chemotherapy and radiation therapy have
burdened cancer patients with onerous physical and psychological challenges …

A practical guide to machine-learning scoring for structure-based virtual screening

VK Tran-Nguyen, M Junaid, S Simeon, PJ Ballester - Nature Protocols, 2023 - nature.com
Abstract Structure-based virtual screening (SBVS) via docking has been used to discover
active molecules for a range of therapeutic targets. Chemical and protein data sets that …

Molecular glue discovery: current and future approaches

JA Dewey, C Delalande, SA Azizi, V Lu… - Journal of medicinal …, 2023 - ACS Publications
The intracellular interactions of biomolecules can be maneuvered to redirect signaling,
reprogram the cell cycle, or decrease infectivity using only a few dozen atoms. Such …

New Insights into the Cooperativity and Dynamics of Dimeric Enzymes

KW Chen, TY Sun, YD Wu - Chemical Reviews, 2023 - ACS Publications
A survey of protein databases indicates that the majority of enzymes exist in oligomeric
forms, with about half of those found in the UniProt database being homodimeric …

Structure-based investigation of a DNA aptamer targeting PTK7 reveals an intricate 3D fold guiding functional optimization

A He, L Wan, Y Zhang, Z Yan, P Guo, D Han… - Proceedings of the …, 2024 - pnas.org
DNA aptamers have emerged as novel molecular tools in disease theranostics owing to
their high binding affinity and specificity for protein targets, which rely on their ability to fold …

Engineered Proteins and Materials Utilizing Residue-Specific Noncanonical Amino Acid Incorporation

T Majekodunmi, D Britton, JK Montclare - Chemical reviews, 2024 - ACS Publications
The incorporation of noncanonical amino acids into proteins and protein-based materials
has significantly expanded the repertoire of available protein structures and chemistries …

[HTML][HTML] AI-driven deep learning techniques in protein structure prediction

L Chen, Q Li, KFA Nasif, Y **e, B Deng, S Niu… - International journal of …, 2024 - mdpi.com
Protein structure prediction is important for understanding their function and behavior. This
review study presents a comprehensive review of the computational models used in …

[HTML][HTML] The current science of sequence-defined macromolecules

K Hakobyan, BB Noble, J Xu - Progress in Polymer Science, 2023 - Elsevier
A fundamental endeavour in macromolecular science is the control of molecular-level
complexity, including molecular weight distribution, end groups and architecture. Since the …

Exploring new galaxies: Perspectives on the discovery of novel PET-degrading enzymes

J Mican, J Da'san MM, W Liu, G Weber… - Applied Catalysis B …, 2024 - Elsevier
Polyethylene terephthalate (PET) is a widely used polyester due to its beneficial material
properties and low cost. However, PET contributes significantly to the growing problem of …

Exploring the conformational landscape of protein kinases

NR Gough, CG Kalodimos - Current opinion in structural biology, 2024 - Elsevier
Highlights•Protein kinases are dynamic with many functionally relevant states.•Multiple
methods provide insights into kinase dynamics and conformations.•NMR is a powerful …