Inventory of Anti-Catalytic Residue Multimeters

SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic

To this end, we propose here a deep learning-based solution, called SCREEN, for the accurate prediction of catalytic residues in enzymes.

A global analysis of function and conservation of catalytic

Here, we review the data on the catalytic residues of 648 enzymes, as annotated in the Mechanism and Catalytic Site Atlas (M-CSA), and compare our results with those in previous studies.

Prediction of catalytic residues | shashibp-lab

In our group, we have developed a consensus based or meta-approach (CSmetaPred) to predict catalytic residues that combines four well-known catalytic residue prediction methods (CRPred,

Squidly: Enzyme Catalytic Residue Prediction Harnessing a

We combined a 97 contrastive learning framework on PLM per-token embeddings with a rationally designed hierarchical 98 pair scheme to create a sequence-based catalytic residue predictor that is

CatRes

We introduce a computational method to predict and annotate the catalytic residues of a protein using only its sequence information. An annotation of an enzyme''s catalytic residues describes their

Analysis of Catalytic Residues in Enzyme Active Sites

We present an analysis of the residues directly involved in catalysis in 178 enzyme active sites.

CSmetaPred: a consensus method for prediction of catalytic residues

In order to improve ranking of catalytic residues and their prediction accuracy, we have developed a meta-approach based method CSmetaPred. In this approach, residues are ranked based on the

Squidly: Enzyme Catalytic Residue Prediction Harnessing a Biology

To address these challenges, we developed Squidly, a sequence-only tool that leverages contrastive representation learning with a biology-informed, rationally designed pairing scheme to

Guideline for Analysis and Prevention of Contamination Catalysis

Our guideline provides a practical roadmap for identifying true catalysts, eliminating impurity-driven errors, and ensuring reliable research outcomes. Designed primarily for handling

PINGU: PredIction of eNzyme catalytic residues usinG seqUence

To find the best threshold that can optimally classify each residue as catalytic or non-catalytic, predictions were made for each test data at a given threshold and the averaged performance

Inventory of Anti-Catalytic Residue Multimeters [PDF]

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