Among specific topics are the local structure alphabets, integrative protein fold recognition by alignment and machine learning, hybrid methods for protein structure prediction, and the conformational search for the protein native state.
What does PSP stand for?
PSP stands for Protein Structure Prediction (protein 3D conformation prediction at rest)
This definition appears frequently and is found in the following Acronym Finder categories:
- Science, medicine, engineering, etc.
See other definitions of PSP
Other Resources:
We have 656 other meanings of PSP in our Acronym Attic
- Abbreviation Database Surfer
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- Profit Sharing Plan
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- Programmable Scanner Position
- Programmable Signal Processor
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- Project Selection Process (various organizations)
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- Provide Strategic Planning
- Pseudostatic Selfpotential
- Pseudostatic Spontaneous Potential (energy production)
- Psychological Support Program (International Federation of Red Cross)
- Public Safety Partnership (various locations)
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- Public Service Profile
- Public Service Program (various organizations)
- Public Sphere Project (Computer Professionals for Social Responsibility)
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Samples in periodicals archive:
Zhang's lab also won CASP protein structure prediction competitions in 2006 and 2008.
et al explain protein structure prediction, Bayesian networks as static models of regulatory pathways, metabolic control theory, dynamic modeling of biological pathways, and gene silencing.
This work describes the successes and limitations of various computational methods for protein structure prediction and their assessment, including template-based approaches, structure alignment and indexing, protein features prediction, and de novo methods.
SGX's integrated experimental and computational technologies include advanced bioinformatics tools for target/anti-target selection and structure-based functional annotation, automation of molecular biology and protein biochemistry, high-throughput crystallization, protein structure prediction by comparative modeling and ab initio methods, synthetic and computational chemistry, and rapid co-crystal structure determination.
To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures.
These seven articles explain the implications of folding behavior in proteins, including the folding and self-assembly process itself and conformational switches, protein-to-protein interactions in terms of structural principle as well as the stability and kinetics of association, understanding why and when proteins do not fold, in vitro transcription and translation systems in protein expression and folding, protein structure prediction and molecular forces, recurrence quantification as a signal analysis approach to the study of protein sequences and structure, and the fundamentals of electrostatics.
SGX's integrated experimental and computational technologies include advanced bioinformatics tools for target/anti-target selection and structure-based functional annotation, automation of molecular biology and protein biochemistry, high-throughput crystallization, protein structure prediction by comparative modeling and ab initio methods, synthetic and computational chemistry, and rapid co-crystal structure determination.