Computational methods for protein structure modelling are routinely used to complement experimental structure determination, thus they help to address a broad spectrum of scientific questions in biomedical research. The most accurate methods today are based on homology modelling, i.e. detecting a homologue to the desired target sequence that can be used as a template for modelling. Here we present a versatile open source homology modelling toolbox as foundation for flexible and computationally efficient modelling workflows. ProMod3 is a fully scriptable software platform that can perform all steps required to generate a protein model by homology. Its modular design aims at fast prototyping of novel algorithms and implementing flexible modelling pipelines. Common modelling tasks, such as loop modelling, sidechain modelling or generating a full protein model by homology, are provided as production ready pipelines, forming the starting point for own developments and enhancements. ProMod3 is the central software component of the widely used SWISS-MODEL web-server.
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http://dx.doi.org/10.1371/journal.pcbi.1008667 | DOI Listing |
Biomolecules
November 2024
NITFID, School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin 300071, China.
Multiple sequence alignment (MSA) has evolved into a fundamental tool in the biological sciences, playing a pivotal role in predicting molecular structures and functions. With broad applications in protein and nucleic acid modeling, MSAs continue to underpin advancements across a range of disciplines. MSAs are not only foundational for traditional sequence comparison techniques but also increasingly important in the context of artificial intelligence (AI)-driven advancements.
View Article and Find Full Text PDFBiology (Basel)
November 2024
Epigenomic Medicine Laboratory at prospED Polytechnic, Melbourne, VIC 3053, Australia.
Primary aldosteronism is characterised by the excessive production of aldosterone, which is a key regulator of salt metabolism, and is the most common cause of secondary hypertension. Studies have investigated the association between primary aldosteronism and genetic alterations, with pathogenic mutations being identified. This includes a glycine-to-arginine substitution at position 151 (G151R) of the G protein-activated inward rectifier potassium (K) channel 4 (GIRK4), which is encoded by the gene.
View Article and Find Full Text PDFJ Struct Biol
January 2025
Postgraduate Program in Industrial Biotechnology, Tiradentes University, Aracaju, Sergipe, Brazil; Department of Morphology, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil. Electronic address:
Cry proteins, commonly found in gram-positive soil bacteria, are used worldwide as aerial sprays or in transgenic plants for controlling crop pest populations and as insect vectors. Via PCR analysis, a spore producing soil isolate (BV5) was speculated to encode a Cry gene. Partial nucleotide sequence of the amplified PCR fragment showed homology with the Cry8 genes present in GenBank.
View Article and Find Full Text PDFMetal-organic frameworks (MOFs) are porous, crystalline materials with high surface area, adjustable porosity, and structural tunability, making them ideal for diverse applications. However, traditional experimental and computational methods have limited scalability and interpretability, hindering effective exploration of MOF structure-property relationships. To address these challenges, we introduce, for the first time, a category-specific topological learning (CSTL), which combines algebraic topology with chemical insights for robust property prediction.
View Article and Find Full Text PDFNovel multiplexed spatial proteomics imaging platforms expose the spatial architecture of cells in the tumor microenvironment (TME). The diverse cell population in the TME, including its spatial context, has been shown to have important clinical implications, correlating with disease prognosis and treatment response. The accelerating implementation of spatial proteomic technologies motivates new statistical models to test if cell-level images associate with patient-level endpoints.
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