EvaluationMaster:\nA GUI Tool for Structure-Based Virtual\nScreening Evaluation Analysis and Decision-Making Support

Structure-based\nvirtual screening (SBVS) plays an indispensable\nrole in the early phases of drug discovery, utilizing computational\ndocking techniques to predict interactions between molecules and biological\ntargets. During the SBVS process, selecting appropriate target structures\nand screening algorithms is crucial, as these choices significantly\nshape the outcomes. Typically, such selections require researchers\nto be proficient with multiple algorithms and familiar with evaluation\nand analysis processes, complicating their tasks. These algorithms’\nlack of graphical user interfaces (GUIs) further complicates it. To\naddress these challenges, we introduced EvaluationMaster, the first\nGUI tool designed specifically to streamline and standardize the evaluation\nand decision-making processes in SBVS. It supports four docking algorithms’\nevaluation under multiple target structures and offers a comprehensive\nplatform that manages the entire workflowincluding the downloading\nof molecules, construction of decoy datasets, prediction of protein\npockets, batch docking, and extensive data analysis. By automating\ncomplex evaluation tasks and providing clear visualizations of analysis\nresults, EvaluationMaster significantly reduces the learning curve\nfor researchers and boosts the efficiency of evaluations, potentially\nimproving SBVS hit rates and accelerating the discovery and development\nof new therapeutic agents.

Publication Details

Journal
Figshare
Published
2024-12-18
DOI
https://doi.org/10.1021/acs.jcim.4c01818.s001
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EvaluationMaster:\nA GUI Tool for Structure-Based Virtual\nScreening Evaluation Analysis and Decision-Making Support

Figshare
Mycorrhizal Fungi and Plant Interactions
article

EvaluationMaster:\nA GUI Tool for Structure-Based Virtual\nScreening Evaluation Analysis and Decision-Making Support

article en

Abstract

Structure-based\nvirtual screening (SBVS) plays an indispensable\nrole in the early phases of drug discovery, utilizing computational\ndocking techniques to predict interactions between molecules and biological\ntargets. During the SBVS process, selecting appropriate target structures\nand screening algorithms is crucial, as these choices significantly\nshape the outcomes. Typically, such selections require researchers\nto be proficient with multiple algorithms and familiar with evaluation\nand analysis processes, complicating their tasks. These algorithms’\nlack of graphical user interfaces (GUIs) further complicates it. To\naddress these challenges, we introduced EvaluationMaster, the first\nGUI tool designed specifically to streamline and standardize the evaluation\nand decision-making processes in SBVS. It supports four docking algorithms’\nevaluation under multiple target structures and offers a comprehensive\nplatform that manages the entire workflowincluding the downloading\nof molecules, construction of decoy datasets, prediction of protein\npockets, batch docking, and extensive data analysis. By automating\ncomplex evaluation tasks and providing clear visualizations of analysis\nresults, EvaluationMaster significantly reduces the learning curve\nfor researchers and boosts the efficiency of evaluations, potentially\nimproving SBVS hit rates and accelerating the discovery and development\nof new therapeutic agents.

Figshare
Peace, Justice and strong institutions
Openalex Percentile: Top 60%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.