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Biological Sciences and Physics Unified: Internal Evolution and Urging the Second Scientific Revolution

Authors: Sadri, Arash;

Biological Sciences and Physics Unified: Internal Evolution and Urging the Second Scientific Revolution

Abstract

{"references": ["David Mendez, Anna Gaulton, A Patr\u00edcia Bento, Jon Chambers, Marleen De Veij, Eloy F\u00e9lix, Mar\u00eda Paula Magari\u00f1os, Juan F Mosquera, Prudence Mutowo, Micha\u0142 Nowotka, Mar\u00eda Gordillo-Mara\u00f1\u00f3n, Fiona Hunter, Laura Junco, Grace Mugumbate, Milagros Rodriguez-Lopez, Francis Atkinson, Nicolas Bosc, Chris J Radoux, Aldo Segura-Cabrera, Anne Hersey, Andrew R Leach, ChEMBL: towards direct deposition of bioassay data, Nucleic Acids Research, Volume 47, Issue D1, 08 January 2019, Pages D930\u2013D940, https://doi.org/10.1093/nar/gky1075"]}

Supplementary Data 1: Discovery Origins of All Approved Drugs Supplementary Data 2: “Off-Target” Therapeutic Mechanisms of “Target-Based” Drugs: Rationality or Luckiness? Uncompressed sizes of the compressed files: 01: 263 MB, 02: 12.5 GB, 03: 5.96 GB, 04: 87.8 GB, 05: 16.4 GB, 06: 21.7 GB, 07: 1.07 GB, 08: 4.78 GB, 09: 958 MB, 10: 106 MB, 11: 17.3 MB, 12: 1.01 GB, 13: 298 MB, 14: 98 MB, 15: 3.03 GB, 16: 261 MB

Related Organizations
Keywords

ChEMBL, Consensus Docking, Systems Science, FlexX, SeeSAR, Systems Pharmacology, Machine Learning, Deep Learning, Artificial Intelligence, Computer-Aided Drug Design - CADD, X-Score, Meta-research, Drug Discovery, Affinity Map, KORP-DL, Reductionism, PrankWeb, PLANT, AutoDock Vina, VEGA ZZ, Affinity Fingerprint, SARS-CoV-2, Systems Biology, Cheminformatics, Drug Repositioning, COVID-19, Drug Repurposing Hub, Quantitative Structure-Activity Relationship - QSAR, Complexity, 4D Quantitative Structure-Activity Relationship - 4D-QSAR, Molecular Docking, HYDE, FlodX, Drug Repurposing, SpotOn, DoGSiteScorer, Binding Affinity, Drug Design, RF-Score-VS, Systematic Review, Meta-Analysis

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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