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CHIPMUNK: A Virtual Synthesizable Small‐Molecule Library for Medicinal Chemistry, Exploitable for Protein–Protein Interaction Modulators

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/pro.3303openalex-snapshot
A nchor Q uery: R apid online virtual screening for small‐molecule protein–protein interaction inhibitors
inferredcites →https://doi.org/10.1007/s11030-010-9225-xopenalex-snapshot
On the industrial applications of MCRs: molecular diversity in drug discovery and generic drug synthesis
inferredcites →https://doi.org/10.1016/j.drudis.2009.11.007openalex-snapshot
Rationalizing the chemical space of protein–protein interaction inhibitors
inferredcites →https://doi.org/10.1016/j.drudis.2013.12.004openalex-snapshot
Data-driven medicinal chemistry in the era of big data
inferredcites →https://doi.org/10.1016/s0169-409x(96)00423-1openalex-snapshot
Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
inferredcites →https://doi.org/10.1021/acs.jcim.5b00203openalex-snapshot
SCUBIDOO: A Large yet Screenable and Easily Searchable Database of Computationally Created Chemical Compounds Optimized toward High Likelihood of Synthetic Tractability
inferredcites →https://doi.org/10.1021/acs.jmedchem.5b01286openalex-snapshot
How Beyond Rule of 5 Drugs and Clinical Candidates Bind to Their Targets
inferredcites →https://doi.org/10.1021/acs.jmedchem.7b00717openalex-snapshot
Beyond the Rule of 5: Lessons Learned from AbbVie’s Drugs and Compound Collection
inferredcites →https://doi.org/10.1021/acschembio.6b00706openalex-snapshot
What Can We Learn from Bioactivity Data? Chemoinformatics Tools and Applications in Chemical Biology Research
inferredcites →https://doi.org/10.1021/ci200379popenalex-snapshot
A Collection of Robust Organic Synthesis Reactions for In Silico Molecule Design
inferredcites →https://doi.org/10.1021/ci3001277openalex-snapshot
ZINC: A Free Tool to Discover Chemistry for Biology
inferredcites →https://doi.org/10.1021/ci300415dopenalex-snapshot
Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17
inferredcites →https://doi.org/10.1021/jm4017625openalex-snapshot
Rings in Drugs
inferredcites →https://doi.org/10.1093/nar/gkt1031openalex-snapshot
The ChEMBL bioactivity database: an update
inferredcites →https://doi.org/10.1093/nar/gkt1068openalex-snapshot
DrugBank 4.0: shedding new light on drug metabolism
inferredcites →https://doi.org/10.1093/nar/gkv982openalex-snapshot
iPPI-DB: an online database of modulators of protein–protein interactions
inferredcites →https://doi.org/10.1145/1656274.1656280openalex-snapshot
KNIME - the Konstanz information miner
inferredcites →https://doi.org/10.1186/1758-2946-1-8openalex-snapshot
Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions
inferredcites →https://doi.org/10.1371/journal.pone.0032839openalex-snapshot
Enabling Large-Scale Design, Synthesis and Validation of Small Molecule Protein-Protein Antagonists

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ange.201909987openalex-snapshot
Autonome Entdeckung in den chemischen Wissenschaften, Teil I: Fortschritt
inferred← citeshttps://doi.org/10.1002/ange.201909989openalex-snapshot
Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick
inferred← citeshttps://doi.org/10.1002/anie.201909987openalex-snapshot
Autonomous Discovery in the Chemical Sciences Part I: Progress
inferred← citeshttps://doi.org/10.1002/anie.201909989openalex-snapshot
Autonomous Discovery in the Chemical Sciences Part II: Outlook
inferred← citeshttps://doi.org/10.1002/ejoc.202200575openalex-snapshot
Diversity‐Oriented Synthesis and Chemoinformatics: A Fruitful Synergy towards Better Chemical Libraries
inferred← citeshttps://doi.org/10.1007/978-3-031-21534-6openalex-snapshot
Algorithms for Big Data
inferred← citeshttps://doi.org/10.1007/978-3-031-21534-6_5openalex-snapshot
Graph-Based Methods for Rational Drug Design
inferred← citeshttps://doi.org/10.1007/978-3-031-76718-0_11openalex-snapshot
Ultra-Large-Scale Virtual Screening
inferred← citeshttps://doi.org/10.1007/978-981-97-2938-8_3openalex-snapshot
The Influence of Artificial Intelligence in Drug Discovery and Development
inferred← citeshttps://doi.org/10.1007/978-981-97-3705-5_6openalex-snapshot
Explainable Artificial Intelligence in Drug Discovery
inferred← citeshttps://doi.org/10.1007/s10822-024-00551-7openalex-snapshot
SpaceGrow: efficient shape-based virtual screening of billion-sized combinatorial fragment spaces
inferred← citeshttps://doi.org/10.1016/b978-0-12-820472-6.00208-5openalex-snapshot
Computational Medicinal Chemistry to Target GPCRs
inferred← citeshttps://doi.org/10.1016/b978-0-323-95502-7.00048-8openalex-snapshot
Chemical Similarity and Substructure Searches
inferred← citeshttps://doi.org/10.1016/b978-0-443-44430-2.00015-3openalex-snapshot
Artificial Intelligence in fragment-based and scaffold-hopping approaches for drug discovery
inferred← citeshttps://doi.org/10.1016/j.bmc.2020.115539openalex-snapshot
Computational-aided design of a library of lactams through a diversity-oriented synthesis strategy
inferred← citeshttps://doi.org/10.1016/j.drudis.2019.02.013openalex-snapshot
The next level in chemical space navigation: going far beyond enumerable compound libraries
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c00068openalex-snapshot
Effective Reaction-Based De Novo Strategy for Kinase Targets: A Case Study on MERTK Inhibitors
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c00509openalex-snapshot
Chemspace Atlas: Multiscale Chemography of Ultralarge Libraries for Drug Discovery
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00737openalex-snapshot
Virtual Compound Libraries in Computer-Assisted Drug Discovery
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.8b01048openalex-snapshot
Virtual Chemical Libraries
inferred← citeshttps://doi.org/10.1021/acs.joc.6c00623openalex-snapshot
Complete Computational Exploration of Eight-Carbon Hydrocarbon Chemical Space
inferred← citeshttps://doi.org/10.1021/acsinfocus.7e5001openalex-snapshot
Virtual Screening for Chemists
inferred← citeshttps://doi.org/10.1021/acsomega.5c08828openalex-snapshot
Big Data for Drug Discovery: Some Historical Landscape, Considerations, and Applications for a Medicinal Chemist
inferred← citeshttps://doi.org/10.1039/d2dd00071gopenalex-snapshot
CoPriNet: graph neural networks provide accurate and rapid compound price prediction for molecule prioritisation
inferred← citeshttps://doi.org/10.1039/d3dd00095hopenalex-snapshot
De novo generated combinatorial library design
inferred← citeshttps://doi.org/10.1080/17460441.2021.1909567openalex-snapshot
Artificial intelligence in drug discovery: recent advances and future perspectives
inferred← citeshttps://doi.org/10.1093/nar/gkae326openalex-snapshot
ChemoDOTS: a web server to design chemistry-driven focused libraries
inferred← citeshttps://doi.org/10.1186/s13321-020-00466-zopenalex-snapshot
Chemoinformatics-based enumeration of chemical libraries: a tutorial
inferred← citeshttps://doi.org/10.3389/fphar.2023.1251061openalex-snapshot
A journey from molecule to physiology and in silico tools for drug discovery targeting the transient receptor potential vanilloid type 1 (TRPV1) channel
inferred← citeshttps://doi.org/10.3390/futurepharmacol6020018openalex-snapshot
Structure-Based Virtual Screening in Tuberculosis Drug Discovery Pharmacological Constraints Failure Modes and Translational Lessons
inferred← citeshttps://doi.org/10.3390/ijms23031620openalex-snapshot
Virtual Combinatorial Chemistry and Pharmacological Screening: A Short Guide to Drug Design
inferred← citeshttps://doi.org/10.48550/arxiv.2012.11522openalex-snapshot
Barking up the right tree: an approach to search over molecule synthesis DAGs
inferred← citeshttps://doi.org/10.70675/50f1b587zb4c5z4f4aza0d9zc290eaa95d95openalex-snapshot
Development of force field methods
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