Previously, sequence comparisons between a mesophilic enzyme and a more thermostable homologue were shown to be a feasible approach to successfully predict thermostabilizing amino acid substitutions. The 'consensus approach' described in the present paper shows that even a set of amino acid sequences of homologous, mesophilic enzymes contains sufficient information to allow rapid design of a thermostabilized, fully functional variant of this family of enzymes. A sequence alignment of homologous fungal phytases was used to calculate a consensus phytase amino acid sequence. Upon construction of the synthetic gene, recombinant expression and purification, the first phytase obtained, termed consensus phytase-1, displayed an unfolding temperature (T(m)) of 78.0 degrees C which is 15-22 degrees C higher than the T(m) values of all parent phytases used in its design. Refinement of the approach, combined with site-directed mutagenesis experiments, yielded optimized consensus phytases with T(m) values of up to 90.4 degrees C. These increases in T(m) are due to the combination of multiple amino acid exchanges which are distributed over the entire sequence of the protein and mainly affect surface-exposed residues; each individual substitution has a rather small thermostabilizing effect only. Remarkably, in spite of the pronounced increase in thermostability, catalytic activity at 37 degrees C is not compromised. Thus, the design of consensus proteins is a potentially powerful and novel alternative to directed evolution and to a series of rational approaches for thermostability engineering of enzymes and other proteins.
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http://dx.doi.org/10.1016/s0167-4838(00)00238-7 | DOI Listing |
J Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
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January 2025
Centro de Investigación en Reproducción Animal Universidad Autónoma de Tlaxcala - CINVESTAV Tlaxcala, Tlaxcala, México.
Introduction: Existing pharmacotherapies for schizophrenia have not progressed beyond targeting dopamine and serotonin neurotransmission. Rodent models of schizophrenia are a necessary tool for elucidating neuropathological processes and testing potential pharmacotherapies, but positive preclinical results in rodent models often do not translate to positive results in the clinic.
Areas Covered: The authors reviewed PubMed for studies that applied rodent behavioral models of schizophrenia to assess the antipsychotic potential of several novel pharmacotherapies currently under investigation.
PLoS One
January 2025
Center for Computation and Integrative Biology, Rutgers, The State of New Jersey, Camden, NJ, United States of America.
Melatonin, a molecule with diverse biological functions, is ubiquitously present in living organisms. There is significant interest in understanding melatonin signal transduction pathways in humans, particularly due to its critical role in regulating the sleep-wake cycle. However, a knowledge gap remains in fully elucidating the mechanisms by which melatonin influences circadian regulation.
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January 2025
Chemical & Petroleum Engineering Department, United Arab Emirates University, Al Ain, United Arab Emirates.
Oil fields located in cold environments and deep-sea locations often face challenges with paraffin wax buildup in pipelines during long-distance crude oil transportation. Various strategies have been employed to address this issue, with chemical methods being the most effective and economical. However, traditional chemical inhibitors present problems due to their high toxicity and low biodegradability, leading to increased operational costs and environmental concerns.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2025
Department of Agricultural Biotechnology, and Research Institute of Agriculture and Life Sciences, CALS, Seoul National University, Seoul 08826, Republic of Korea.
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