protein decoysThe ability to separate correct models of protein structures from less correct models is of the greatest importance for protein structure prediction methods. Several studies have examined the ability of different types of energy function to detect the native, or native-like, protein ...
Since the structure of a protein is intimately linked to its stability, function and interactions, many in silico prediction methods employ knowledge of protein structure, either exclusively or in combination with sequence-based features, with the aim of providing high-quality predictions (high TPR an...
Breakthrough in the protein structure prediction field using deep learning to predict protein structure from amino acid sequence. Article CAS PubMed PubMed Central Google Scholar Marx, V. Method of the year: protein structure prediction. Nat. Methods 19, 5–10 (2022). Article CAS PubMed ...
Protein structure predictionIn the pursuit of accurate protein structure prediction, the pivotal role of accurately determining how a protein's amino acid sequence gives rise to its 3D configuration has become apparent, particularly in guiding AIDD. The core of this discipline lies in demystifying the...
Since no structural information is available for vast majority of protein sequences, in worldwide PDB which is repository for the three-dimensional structural data of large biological molecules, computational methods for protein structure prediction have gained much interest in the recent years. Physico...
Lecture 15: Kernel Methods Lecture 16: Radial Basis Functions Lecture 17: Three Learning Principles Lecture 18: Epilogue 🔗Link to Course Stanford CS229: Machine Learning To learn some of the basics of ML: Linear Regression and Gradient Descent ...
MiXcan is a new statistical framework for conducting cell-type-aware TWAS using GWAS data. In contrast to standard TWAS methods, MiXcan builds cell-type-level prediction models for the genetically regulated component of gene expression and performs association tests taking into consideration the signal...
MiXcan is a new statistical framework for conducting cell-type-aware TWAS using GWAS data. In contrast to standard TWAS methods, MiXcan builds cell-type-level prediction models for the genetically regulated component of gene expression and performs association tests taking into consideration the signal...
(2020)Deep Learning Methods in Protein Structure Prediction (2020)GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction--> 💻code (2020)Revealing cytotoxic substructures in molecules using deep learning (2020)ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Propert...
Machine learning methods for protein structure prediction. IEEE Rev. Biomed. Eng. 1, 41–49 (2008). Article PubMed Google Scholar Montes, J., Gomez, E., Merchán-Pérez, A., DeFelipe, J. & Peña, J.-M. A machine learning method for the prediction of receptor activation in the ...