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Published equation contexts

P(a1,…,aL)=1Zexp⁡ ⁣[∑ihi(ai)+∑i<jeij(ai,aj)]P(a_1,\ldots,a_L) = \frac{1}{Z}\exp\!\left[\sum_{i} h_i(a_i) + \sum_{i<j} e_{ij}(a_i,a_j)\right]

Why this formula appears here

The fix is to fit a global model that explains the observed column statistics with the smallest number of direct couplings. In the maximum-entropy formulation used in this literature, the probability of a full sequence takes a Potts form, P(a1,…,aL)=1Zexp⁡ ⁣[∑ihi(ai)+∑i<jeij(ai,aj)]P(a_1,\ldots,a_L) = \frac{1}{Z}\exp\!\left[\sum_{i} h_i(a_i) + \sum_{i<j} e_{ij}(a_i,a_j)\right]. with single-site fields hih_i and pair couplings eije_{ij} fitted so that the model reproduces the single-column and pairwise frequencies of the alignment. Marks and colleagues reported that the strength of the inferred couplings is a strong predictor of residue proximity in the folded structure, and that the top-scoring couplings are accurate and well-distributed enough to define a three-dimensional fold [ 5 ] . Morcos and colleagues…

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a1a_1

Symbol a_1

a1a_1 is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.

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aLa_L

Symbol a_L

aLa_L is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.

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ZZ

Symbol Z

Z occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

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ii

Symbol i

i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

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jj

Symbol j

j appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

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ii

Starting index or lower bound: i

This label says where the repeated addition, multiplication, or accumulation starts. Read its value or condition together with the article’s description of the index.

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i<ji<j

Starting index or lower bound: i<j

This label says where the repeated addition, multiplication, or accumulation starts. Read its value or condition together with the article’s description of the index.

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How to interpret it

With a fixed numerator, increasing a nonzero denominator reduces the fraction. Read it with the definitions, units, and assumptions supplied by the article.

Research cited beside this formula

Published contexts (1)

A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.

P(a1,…,aL)=1Zexp⁡ ⁣[∑ihi(ai)+∑i<jeij(ai,aj)],P(a_1,\ldots,a_L) = \frac{1}{Z}\exp\!\left[\sum_{i} h_i(a_i) + \sum_{i<j} e_{ij}(a_i,a_j)\right],

Equation 8 · Structural Biology

Structure from Sequence: What Protein Folding Prediction Did and Did Not Settle

This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions.

The fix is to fit a global model that explains the observed column statistics with the smallest number of direct couplings. In the maximum-entropy formulation used in this literature, the probability of a full sequence takes a Potts form, P(a1,…,aL)=1Zexp⁡ ⁣[∑ihi(ai)+∑i<jeij(ai,aj)]P(a_1,\ldots,a_L) = \frac{1}{Z}\exp\!\left[\sum_{i} h_i(a_i) + \sum_{i<j} e_{ij}(a_i,a_j)\right]. with single-site fields hih_i and pair couplings eije_{ij} fitted so that the model reproduces the single-column and pairwise frequencies of the alignment. Marks and colleagues reported that the strength of the inferred couplings is a strong predictor of residue proximity in the folded structure, and that the top-scoring couplings are accurate and well-distributed enough to define a three-dimensional fold [ 5 ] . Morcos and colleagues…

Meanings in this article

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