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Everything about PSIPRED
Method used to investigate protein structure
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm. It is a server-side program, featuring a website serving as a front-end interface, which can predict a protein's secondary structure from the primary sequence. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: PSIPREDA 5-minute orientation
- Read the landmark paper: The PSIPRED protein structure prediction serverCited 3,176 times
- Go sideways: Protein secondary structureA closely related topic
- Go sideways: JpredA closely related topic
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🏆 Landmark papers (most cited)
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đź”— Related topics
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- Protein structure prediction Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its…
- Nucleic acid secondary structure Nucleic acid secondary structure is the basepairing interactions within a single nucleic acid polymer or between two polymers. It can be represented as…
- Protein–DNA interaction site predictor Structural and physical properties of DNA provide important constraints on the binding sites formed on surfaces of DNA-binding proteins. Characteristics…
- Biomolecular structure Biomolecular structure is the intricate folded, three-dimensional shape that is formed by a molecule of protein, DNA, or RNA, and that is important to…
- Chou–Fasman method The Chou–Fasman method is an empirical technique for the prediction of secondary structures in proteins, originally developed in the 1970s by Peter Y.…
- Structural alignment Structural alignment attempts to establish homology between two or more polymer structures based on their shape and three-dimensional conformation. This…