Using Extended-Connectivity Fingerprints with Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up

Article Properties
  • Language
    English
  • Publication Date
    2005/10/01
  • Journal
  • Indian UGC (journal)
  • Refrences
    10
  • Citations
    208
  • David Rogers
  • Robert D. Brown
  • Mathew Hahn
Cite
Rogers, David, et al. “Using Extended-Connectivity Fingerprints With Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up”. SLAS Discovery, vol. 10, no. 7, 2005, pp. 682-6, https://doi.org/10.1177/1087057105281365.
Rogers, D., Brown, R. D., & Hahn, M. (2005). Using Extended-Connectivity Fingerprints with Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up. SLAS Discovery, 10(7), 682-686. https://doi.org/10.1177/1087057105281365
Rogers D, Brown RD, Hahn M. Using Extended-Connectivity Fingerprints with Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up. SLAS Discovery. 2005;10(7):682-6.
Journal Categories
Medicine
Medicine (General)
Science
Biology (General)
Science
Chemistry
Analytical chemistry
Science
Chemistry
Organic chemistry
Biochemistry
Technology
Chemical technology
Biotechnology
Refrences
Title Journal Journal Categories Citations Publication Date
Greater Than the Sum of Its Parts:  Combining Models for Useful ADMET Prediction Journal of Medicinal Chemistry
  • Medicine: Therapeutics. Pharmacology
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
83 2005
Combination of a Naive Bayes Classifier with Consensus Scoring Improves Enrichment of High-Throughput Docking Results Journal of Medicinal Chemistry
  • Medicine: Therapeutics. Pharmacology
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
39 2004
Finding More Needles in the Haystack:  A Simple and Efficient Method for Improving High-Throughput Docking Results Journal of Medicinal Chemistry
  • Medicine: Therapeutics. Pharmacology
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
44 2004
Classification of Kinase Inhibitors Using a Bayesian Model Journal of Medicinal Chemistry
  • Medicine: Therapeutics. Pharmacology
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
264 2004
Molecular Similarity Searching Using Atom Environments, Information-Based Feature Selection, and a Naïve Bayesian Classifier Journal of Chemical Information and Computer Sciences 170 2004
Refrences Analysis
The category Medicine: Therapeutics. Pharmacology 4 is the most frequently represented among the references in this article. It primarily includes studies from Journal of Medicinal Chemistry The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Deep Learning Algorithm Based on Molecular Fingerprint for Prediction of Drug‐Induced Liver Injury Toxicology
  • Medicine: Therapeutics. Pharmacology
  • Medicine: Public aspects of medicine: Toxicology. Poisons
  • Medicine: Public aspects of medicine: Toxicology. Poisons
2024
dMXP: A De Novo Small-Molecule 3D Structure Predictor with Graph Attention Networks Journal of Chemical Information and Modeling
  • Medicine: Therapeutics. Pharmacology
  • Science: Chemistry: General. Including alchemy
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Chemistry
2024
Insightful t-SNE guided exploration spotlighting Palbociclib and Ribociclib analogues as novel WEE1 kinase inhibitory candidates Journal of Biomolecular Structure and Dynamics
  • Science: Biology (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
2024
Artificial Intelligence for Drug Discovery: Are We There Yet?

Annual Review of Pharmacology and Toxicology
  • Medicine: Therapeutics. Pharmacology
  • Medicine: Public aspects of medicine: Toxicology. Poisons
  • Medicine: Public aspects of medicine: Toxicology. Poisons
8 2024
Predicting PC-SAFT pure-component parameters by machine learning using a molecular fingerprint as key input Fluid Phase Equilibria
  • Science: Physics: Heat: Thermodynamics
  • Science: Chemistry: Physical and theoretical chemistry
  • Technology: Chemical technology: Chemical engineering
  • Technology: Chemical technology: Chemical engineering
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
8 2023
Citations Analysis
Category Category Repetition
Medicine: Therapeutics. Pharmacology113
Science: Chemistry103
Science: Mathematics: Instruments and machines: Electronic computers. Computer science86
Science: Chemistry: General. Including alchemy84
Science: Science (General): Cybernetics: Information theory58
Medicine: Public aspects of medicine: Toxicology. Poisons56
Science: Biology (General)52
Science: Chemistry: Analytical chemistry29
Science: Chemistry: Organic chemistry: Biochemistry26
Medicine: Medicine (General): Computer applications to medicine. Medical informatics18
Science: Physics15
Medicine: Medicine (General)14
Science: Science (General)10
Technology: Chemical technology: Biotechnology9
Medicine9
Science8
Technology: Technology (General): Industrial engineering. Management engineering: Information technology8
Science: Chemistry: Crystallography6
Science: Chemistry: Physical and theoretical chemistry4
Technology: Chemical technology4
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials3
Science: Chemistry: Organic chemistry3
Geography. Anthropology. Recreation: Environmental sciences3
Science: Microbiology2
Medicine: Internal medicine: Specialties of internal medicine: Immunologic diseases. Allergy2
Medicine: Internal medicine: Infectious and parasitic diseases2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Chemical technology: Food processing and manufacture2
Science: Mathematics: Probabilities. Mathematical statistics2
Science: Mathematics: Instruments and machines2
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the respiratory system1
Technology: Home economics: Nutrition. Foods and food supply1
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene1
Medicine: Medicine (General): Medical technology1
Social Sciences1
Medicine: Pharmacy and materia medica1
Medicine: Internal medicine: Special situations and conditions: Arctic medicine. Tropical medicine1
Medicine: Public aspects of medicine1
Agriculture1
Agriculture: Agriculture (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Mechanical engineering and machinery1
Science: Mathematics1
Science: Physics: Heat: Thermodynamics1
Technology: Chemical technology: Chemical engineering1
Technology: Manufactures: Production management. Operations management1
The category Medicine: Therapeutics. Pharmacology 113 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Ready, steady, screen! and was published in 2005. The most recent citation comes from a 2024 study titled dMXP: A De Novo Small-Molecule 3D Structure Predictor with Graph Attention Networks. This article reached its peak citation in 2010, with 25 citations. It has been cited in 86 different journals, 16% of which are open access. Among related journals, the Journal of Chemical Information and Modeling cited this research the most, with 50 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year