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
We have 656 other meanings of PSP in our Acronym Attic
- Program and Support Plan
- Program Segment Prefix
- Program Support Plan
- Programmable Scanner Position
- Programmable Signal Processor
- Progress Singapore Party (Singapore)
- Progressive Supranuclear Palsy
- Project Selection Process (various organizations)
- Project Study Plan
- Proposal Solicitation Package
- Provide Strategic Planning
- Pseudostatic Selfpotential
- Pseudostatic Spontaneous Potential (energy production)
- Psychological Support Program (International Federation of Red Cross)
- Public Safety Partnership (various locations)
- Public Sector Program (various organizations)
- Public Service Profile
- Public Service Program (various organizations)
- Public Sphere Project (Computer Professionals for Social Responsibility)
- Public, Semi-Public (Zoning class for land use)
Samples in periodicals archive:
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.
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.