Information for "De Novo Drug Design Algorithms"

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Display title	De Novo Drug Design Algorithms
Default sort key	De Novo Drug Design Algorithms
Page length (in bytes)	3,931
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Page ID	78826185
Page content language	en - English
Page content model	wikitext
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Number of redirects to this page	1
Counted as a content page	Yes
Wikidata item ID	Q133521237
Page views in the past 30 days	25

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Page creator	Davidoskky (talk \| contribs)
Date of page creation	13:11, 7 January 2025
Latest editor	SafariScribe (talk \| contribs)
Date of latest edit	04:28, 24 March 2025
Total number of edits	24
Recent number of edits (within past 30 days)	0
Recent number of distinct authors	0

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Wikidata entities used in this page	REINVENT 2.0: An AI Tool for De Novo Drug Design Statement: P356 Statement: P577 De Novo Drug Design Algorithms Title Sitelink Description: en LigBuilder 2: a practical de novo drug design approach Statement: P356 Statement: P577 Multistep Reaction Based De Novo Drug Design: Generating Synthetically Feasible Design Ideas Statement: P356 Statement: P577 GroupBuild: a fragment-based method for de novo drug design Statement: P356 Statement: P577 GenStar: a method for de novo drug design Statement: P356 Statement: P577 LigBuilder: A Multi-Purpose Program for Structure-Based Drug Design Statement: P356 Statement: P577 Deep reinforcement learning for de novo drug design Statement: P356 Statement: P577 Knowledge-driven multi-objective de novo drug design Statement: P356 Statement: P577 Ligand: A new automated system for de novo drug design Statement: P356 Statement: P577 LigBuilder V3: A Multi-Target de novo Drug Design Approach Statement: P356 Statement: P577 Multi-objective de novo drug design with conditional graph generative model Statement: P356 Statement: P577 Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery Statement: P356 Statement: P577 Shape-Based Generative Modeling for de Novo Drug Design Statement: P356 Statement: P577 DeepScaffold: A Comprehensive Tool for Scaffold-Based De Novo Drug Discovery Using Deep Learning Statement: P356 Statement: P577 SMILES-Based Deep Generative Scaffold Decorator for De-Novo Drug Design Statement: P356 Statement: P577 Multi-objective Genetic Algorithm for De Novo Drug Design Statement: P356 Statement: P577 De novo drug design of targeted chemical libraries based on artificial intelligence and pair based multi-objective optimization Statement: P356 Statement: P577

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