Results 21 to 30 of about 2,066,004 (263)
Frontiers in Immunology, 2021 The unprecedented global demand for SARS-CoV-2 vaccines has demonstrated the need for highly effective vaccine candidates that are thermostable and amenable to large-scale manufacturing. Nanoparticle immunogens presenting the receptor-binding domain (RBD)
Daniel Ellis +52 more
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Protein design automation [PDF]
Protein Science, 1996 AbstractWe have conceived and implemented a cyclical protein design strategy that couples theory, computation, and experimental testing. The combinatorially large number of possible sequences and the incomplete understanding of the factors that control protein structure are the primary obstacles in protein design.
Dahiyat, Bassil I., Mayo, Stephen L.
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Biochemical Society Transactions, 2013 Protein engineering is at an exciting stage because designed protein–protein interactions are being used in many applications. For instance, three designed proteins are now in clinical trials. Although there have been many successes over the last decade, protein engineering still faces numerous challenges.
Nicholas, Sawyer +2 more
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Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition
Biomolecules, 2020 We show that machine learning can pinpoint features distinguishing inactive from active states in proteins, in particular identifying key ligand binding site flexibility transitions in GPCRs that are triggered by biologically active ligands. Our analysis
Joseph Bemister-Buffington +3 more
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Crystal structure correlations with the intrinsic thermodynamics of human carbonic anhydrase inhibitor binding [PDF]
PeerJ, 2018 The structure-thermodynamics correlation analysis was performed for a series of fluorine- and chlorine-substituted benzenesulfonamide inhibitors binding to several human carbonic anhydrase (CA) isoforms.
Alexey Smirnov +4 more
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Scientific Reports, 2022 We have recently developed a mouse monoclonal antibody (12–10H) binding to the head domain region in rat P2X4 receptor (rP2X4R, which is crucial for the pathogenesis of neuropathic pain) expressed on the cell with the highest binding affinity (K D = 20 ...
Chinatsu Shinozaki +11 more
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Computational protein design [PDF]
Structure, 1999 A 'protein design cycle', involving cycling between theory and experiment, has led to recent advances in rational protein design. A reductionist approach, in which protein positions are classified by their local environments, has aided development of an appropriate energy expression. The computational principles and practicalities of the protein design
Street, Arthur G., Mayo, Stephen L.
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De novo design of immunoglobulin-like domains
Nature Communications, 2022 The immunoglobulin domain framework of antibodies has been a long standing design challenge. Here, the authors describe design rules for tailoring these domains and show they can be accurately designed, de novo, with high stability and the ability to ...
Tamuka M. Chidyausiku +13 more
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Machine learning methods for protein-protein binding affinity prediction in protein design
Frontiers in Bioinformatics, 2022 Protein-protein interactions govern a wide range of biological activity. A proper estimation of the protein-protein binding affinity is vital to design proteins with high specificity and binding affinity toward a target protein, which has a variety of ...
Zhongliang Guo +2 more
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Algorithms for protein design [PDF]
Current Opinion in Structural Biology, 2016 Computational structure-based protein design programs are becoming an increasingly important tool in molecular biology. These programs compute protein sequences that are predicted to fold to a target structure and perform a desired function. The success of a program's predictions largely relies on two components: first, the input biophysical model, and
Pablo, Gainza +2 more
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