Sentence examples for predicted as binding from inspiring English sources

For each pocket from prediction, we only count the residues which are predicted as binding sites by our SVM model.

The accuracy is defined as where TP is the number of true positives (binding residues with positive predictions); TN is the number of true negatives (non-binding residues with negative predictions); FP is the number of false positives (non-binding residues but predicted as binding sites) and FN is the number of false negatives (binding residues but predicted as non-binding sites).

The accuracy is defined as where TP is the number of true positives (binding residues with positive predictions); TN is the number of true negatives (non-binding residues with negative predictions); FP is the number of false positives (non-binding residues but predicted as binding residues) and FN is the number of false negatives (binding residues but predicted as non-binding residues).

For each protein chain, all the residues were divided into four categories: TP: correctly predicted binding site residues; TN: correctly predicted nonbinding site residues; FP: incorrectly predicted as binding site residues; and FN: incorrectly predicted as nonbinding site residues.

Positive predictive value (PPV) measures the ratio of correctly predicted binding nucleotides to all nucleotides that are predicted as binding (equation 8).

Potential sites with high scores, near 1.0, are expected to be more confidently predicted as binding sites than those with lower scores.

Computational analysis predicted as much as eleven putative miR-485-5p miR-485-5p miR-485-5p3'UTR of HIF3α.

Microtubule associated motor protein KIF18B [43] was predicted as microtubule binding by GOPred and motor activity by both GOPred and ConFunc tools.

Regions that have a score >0.5 and pass the filtering criteria are predicted as disordered binding regions.

Negative predictive value (NPV) measures the ratio of correctly predicted non-binding nucleotides to all nucleotides that are predicted as non-binding (equation 9).

Likewise, potential sites with low scores, near 0.0, are expected to be more confidently predicted as non-binding sites than those with higher scores.