Machine-readable files (redocking poses, and enzyme models and predictions) for Frontiers in Drug Discovery manuscript

All 48 protocols (200 runs each) for covalent and noncovalent redocking of E64d in the I7L enzyme using GOLD;AlphaFold2 models for the I7L enzymes of MPXV, VARV, and VACV;PrankWeb results for all protease structures assessed (experimental and modeled);

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23770430
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Machine-readable files (redocking poses, and enzyme models and predictions) for Frontiers in Drug Discovery manuscript

Mateus Sá Magalhães Serafim
1 links
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Machine-readable files (redocking poses, and enzyme models and predictions) for Frontiers in Drug Discovery manuscript

Mateus Sá Magalhães Serafim
article en

Abstract

All 48 protocols (200 runs each) for covalent and noncovalent redocking of E64d in the I7L enzyme using GOLD;AlphaFold2 models for the I7L enzymes of MPXV, VARV, and VACV;PrankWeb results for all protease structures assessed (experimental and modeled);

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de Minas Gerais (BR)
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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Machine-readable files (redocking poses, and enzyme models and predictions) for Frontiers in Drug Discovery manuscript — Mateus Sá Magalhães Serafim · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS