Results 11 to 20 of about 2,011,052 (344)
Heuristic energy-based cyclic peptide design. [PDF]
Rational computational design is crucial to the pursuit of novel drugs and therapeutic agents. Meso-scale cyclic peptides, which consist of 7-40 amino acid residues, are of particular interest due to their conformational rigidity, binding specificity ...
Qiyao Zhu +2 more
doaj +3 more sources
Identification of a novel and high-affinity cyclic peptide targeting Keap1 for inflammation treatment by a combined virtual screening strategy [PDF]
Inhibition of the Keap1-Nrf2 protein-protein interaction with cyclic peptides represents an attractive strategy to treat inflammation. However, the cyclic peptides for this inhibition are constrained by their low affinity. In this study, the peptides 1-6
Shenglin Gao +5 more
doaj +2 more sources
MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model [PDF]
Background Cyclic peptides, known for their high binding affinity and low toxicity, show potential as innovative drugs for targeting “undruggable” proteins. However, their therapeutic efficacy is often hindered by poor membrane permeability.
Zixu Wang +7 more
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Cyclic peptide membrane permeability prediction using deep learning model based on molecular attention transformer [PDF]
Membrane permeability is a critical bottleneck in the development of cyclic peptide drugs. Experimental membrane permeability testing is costly, and precise in silico prediction tools are scarce.
Dawei Jiang +3 more
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IntroductionOur previous research has found that degradation of palmitoyltransferase in tumor cells using a linear peptide PROTAC leads to a significant decrease in PD-L1 expression in tumors.
Yu-Ying Shi +4 more
doaj +1 more source
Cyclic peptide structure prediction and design using AlphaFold
Deep learning networks offer considerable opportunities for accurate structure prediction and design of biomolecules. While cyclic peptides have gained significant traction as a therapeutic modality, developing deep learning methods for designing such ...
Stephen A. Rettie +10 more
semanticscholar +1 more source
Genetically-encoded combinatorial peptide libraries are convenient tools to identify peptides to be used as therapeutics, antimicrobials and functional synthetic biology modules. Here, we report the identification and characterization of a cyclic peptide,
Stefano Rosa +11 more
doaj +1 more source
Cyclic peptide drugs approved in the last two decades (2001–2021)
In contrast to the major families of small molecules and antibodies, cyclic peptides, as a family of synthesizable macromolecules, have distinct biochemical and therapeutic properties for pharmaceutical applications.
Huiya Zhang, Shiyu Chen
semanticscholar +1 more source
Efficient 3D conformer generation of cyclic peptides formed by a disulfide bond
Cyclic peptides formed by disulfide bonds have been one large group of common drug candidates in drug development. Structural information of a peptide is essential to understand its interaction with its target.
Huanyu Tao +4 more
doaj +1 more source
For decades the opioid receptors have been an attractive therapeutic target for the treatment of pain. Since the first discovery of enkephalin, approximately a dozen endogenous opioid peptides have been known to produce opioid activity and analgesia, but their therapeutics have been limited mainly due to low blood brain barrier penetration and poor ...
Michael, Remesic +2 more
openaire +2 more sources

