DOPE, or Discrete Optimized Protein Energy, is a statistical potential used to assess homology models in protein structure prediction. DOPE is based on...
2 KB (231 words) - 13:53, 20 August 2023
a phospholipid Discrete optimized protein energy, a method of assessing homology models in protein structure prediction Dopamine, also...
3 KB (426 words) - 22:02, 14 January 2025
also termed inverse folding. Protein design is then an optimization problem: using some scoring criteria, an optimized sequence that will fold to the...
64 KB (7,746 words) - 14:55, 31 March 2025
Statistical potential (category Protein structure)
for protein structure prediction, but also for modelling the protein folding pathway. Scoring functions for docking Discrete optimized protein energy CASP...
21 KB (2,864 words) - 02:48, 27 October 2024
Lattice proteins are highly simplified models of protein-like heteropolymer chains on lattice conformational space which are used to investigate protein folding...
16 KB (1,998 words) - 21:26, 25 September 2024
evolved proteins have optimized their folding energy landscapes, and that nature has chosen amino acid sequences so that the folded state of the protein is...
76 KB (8,708 words) - 09:25, 13 March 2025
Dead-end elimination (category Protein methods)
information: A well-defined finite set of discrete independent variables A precomputed numerical value (considered the "energy") associated with each element in...
10 KB (1,929 words) - 08:13, 11 October 2024
Typical examples of global optimization applications include: Protein structure prediction (minimize the energy/free energy function) Computational phylogenetics...
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atomic analogs. Some of the major driving forces behind protein adsorption include: surface energy, intermolecular forces, hydrophobicity, and ionic or electrostatic...
43 KB (5,248 words) - 15:07, 23 May 2025
Macromolecular docking (redirect from Protein-protein docking)
biological macromolecules. Protein–protein complexes are the most commonly attempted targets of such modelling, followed by protein–nucleic acid complexes...
25 KB (3,227 words) - 14:33, 9 October 2024
attempt to mimic protein folding or apply some stochastic method to search possible solutions (i.e., global optimization of a suitable energy function). These...
74 KB (9,238 words) - 01:35, 3 April 2025
efficient and accurate models. Proteins can adopt an exponential number of states when modeled discretely. Typically, a protein's conformations are represented...
9 KB (1,295 words) - 03:15, 20 April 2021
Backbone-dependent rotamer library (category Protein structure)
and standard deviations of the discrete conformations (known as rotamers) of the amino acid side chains in proteins as a function of the backbone dihedral...
19 KB (2,017 words) - 23:59, 2 December 2023
Markov chain (section Discrete-time Markov chain)
countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete-time Markov chain (DTMC). A continuous-time process is called...
96 KB (12,900 words) - 21:01, 27 April 2025
codes Discrete element method Discrete optimized protein energy Discrete spectrum (physics) Discrete symmetry Disgregation Disorder operator Dispersion-shifted...
17 KB (1,787 words) - 22:53, 7 October 2024
information retrieval Energy and electricity network design Grid workflow scheduling problem Inhibitory peptide design for protein protein interactions Intelligent...
77 KB (9,487 words) - 03:42, 15 April 2025
Simulated annealing (category Optimization algorithms and methods)
when the search space is discrete (for example the traveling salesman problem, the boolean satisfiability problem, protein structure prediction, and...
35 KB (4,638 words) - 16:59, 21 May 2025
deterministic methods of discrete or continuous optimization. While the force field represents only the enthalpic component of free energy (and only this component...
19 KB (2,335 words) - 09:39, 19 February 2025
for predicting the 3D structures of proteins, AlphaEvolve - a coding agent for algorithm discovery that has optimized Google compute infrastructure and...
13 KB (1,091 words) - 12:18, 21 May 2025
{N(N-1)}{2}}} and is, in general, greater than the energy of every Thomson problem solution. Here, N is a discrete variable that counts the number of electrons...
93 KB (2,927 words) - 01:44, 23 March 2025
Evolution strategies provide a solution to parameter optimization problems for real-valued as well as discrete and mixed types of parameters. Evolutionary programming...
44 KB (5,191 words) - 00:07, 23 May 2025
machines are a class of molecules typically described as an assembly of a discrete number of molecular components intended to produce mechanical movements...
63 KB (5,824 words) - 18:34, 23 May 2025
performs a single mathematical operation, discrete optimization. Rainier uses quantum annealing to solve optimization problems. The D-Wave One was claimed...
41 KB (3,863 words) - 18:29, 21 May 2025
bioinformatics. Let X n {\displaystyle X_{n}} and Y n {\displaystyle Y_{n}} be discrete-time stochastic processes and n ≥ 1 {\displaystyle n\geq 1} . The pair...
52 KB (6,811 words) - 04:08, 22 December 2024
temperatures. Adaptation to higher temperatures is not without costs. Proteins optimized for stability at higher temperatures may show reduced flexibility...
18 KB (2,350 words) - 14:46, 23 April 2025
Chemical kinetics (section Free energy)
lower activation energy. In autocatalysis a reaction product is itself a catalyst for that reaction leading to positive feedback. Proteins that act as catalysts...
24 KB (3,326 words) - 20:37, 18 March 2025
changes in the thermal denaturation temperature and hence stability of a protein under varying conditions such as variations in drug concentration, buffer...
50 KB (5,897 words) - 23:09, 6 March 2025
however, a nitrogen gas source may also be used. Water is known to have many discrete absorptions in the THz region that are rotational modes of water molecules...
22 KB (2,922 words) - 15:02, 18 February 2025
Folding@home (category Protein folds)
this cyclic process. MSMs are discrete-time master equation models which describe a biomolecule's conformational and energy landscape as a set of distinct...
154 KB (14,574 words) - 21:41, 21 April 2025
Engineering: discrete event and Monte-Carlo simulations (for logistics and manufacturing systems for example), queueing networks, mathematical optimization Material...
13 KB (1,054 words) - 16:29, 16 April 2025