John Davies
#78,578
Most Influential Person Now
Welsh historian and television and radio broadcaster
John Davies 's AcademicInfluence.com Rankings
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History
Why Is John Davies Influential?
(Suggest an Edit or Addition)According to Wikipedia, John Davies, FLSW was a Welsh historian, and a television and radio broadcaster. He attended university at Cardiff and Cambridge and taught Welsh at Aberystwyth. He wrote a number of books on Welsh history, including A History of Wales .
John Davies 's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Targeting angiogenesis with a conjugate of HPMA copolymer and TNP-470 (2004) (336)
- Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure (2007) (293)
- Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases (2006) (264)
- How Similar Are Similarity Searching Methods? A Principal Component Analysis of Molecular Descriptor Space (2009) (257)
- The discovery of capsazepine, the first competitive antagonist of the sensory neuron excitants capsaicin and resiniferatoxin. (1994) (197)
- Bridging chemical and biological space: "target fishing" using 2D and 3D molecular descriptors. (2006) (176)
- In silico target fishing: Predicting biological targets from chemical structure (2006) (158)
- Mapping adverse drug reactions in chemical space. (2009) (150)
- Gaining Insight into Off-Target Mediated Effects of Drug Candidates with a Comprehensive Systems Chemical Biology Analysis (2009) (143)
- Rethinking molecular similarity: comparing compounds on the basis of biological activity. (2012) (132)
- A multi‐scale convolutional neural network for phenotyping high‐content cellular images (2017) (118)
- A 3D similarity method for scaffold hopping from known drugs or natural ligands to new chemotypes. (2004) (114)
- "Bayes Affinity Fingerprints" Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept? (2006) (107)
- Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers (2006) (95)
- Dark chemical matter as a promising starting point for drug lead discovery. (2015) (93)
- Chemogenomic data analysis: prediction of small-molecule targets and the advent of biological fingerprint. (2007) (91)
- PDEPT: polymer-directed enzyme prodrug therapy. 2. HPMA copolymer-beta-lactamase and HPMA copolymer-C-Dox as a model combination. (2003) (84)
- Streamlining lead discovery by aligning in silico and high-throughput screening. (2006) (79)
- Finding more needles in the haystack: A simple and efficient method for improving high-throughput docking results. (2004) (78)
- Enrichment of Extremely Noisy High-Throughput Screening Data Using a Naïve Bayes Classifier (2004) (72)
- Understanding False Positives in Reporter Gene Assays: in Silico Chemogenomics Approaches To Prioritize Cell-Based HTS Data (2007) (69)
- Plate-Based Diversity Selection Based on Empirical HTS Data to Enhance the Number of Hits and Their Chemical Diversity (2009) (68)
- Combination of a naive Bayes classifier with consensus scoring improves enrichment of high-throughput docking results. (2004) (66)
- Which aspects of HTS are empirically correlated with downstream success? (2008) (49)
- Prediction of Biological Targets for Compounds Using Multiple‐Category Bayesian Models Trained on Chemogenomics Databases. (2006) (42)
- Design of small molecule libraries for NMR screening and other applications in drug discovery. (2002) (41)
- "Virtual fragment linking": an approach to identify potent binders from low affinity fragment hits. (2008) (41)
- Flexible 3D pharmacophores as descriptors of dynamic biological space. (2007) (41)
- Pharmacology of capsaicin-, anandamide-, and N-arachidonoyl-dopamine-evoked cell death in a homogeneous transient receptor potential vanilloid subtype 1 receptor population. (2010) (38)
- Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease (2004) (37)
- “Plate Cherry Picking”: A Novel Semi-Sequential Screening Paradigm for Cheaper, Faster, Information-Rich Compound Selection (2007) (34)
- The opportunities of mining historical and collective data in drug discovery. (2015) (26)
- Chemotography for multi-target SAR analysis in the context of biological pathways. (2012) (23)
- Use of ligand based models for protein domains to predict novel molecular targets and applications to triage affinity chromatography data. (2009) (21)
- Nonpeptide bradykinin B2 receptor antagonists: conversion of rodent-selective bradyzide analogues into potent, orally-active human bradykinin B2 receptor antagonists. (2002) (19)
- A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space (2010) (7)
- Application of Machine Learning to Improve the Results of High‐Throughput Docking Against the HIV‐1 Protease. (2005) (5)
- Prioritization of high throughput screening data of compound mixtures using molecular similarity (2003) (5)
- Bridging Chemical and Biological Data: Implications for Pharmaceutical Drug Discovery (2011) (3)
- Small Molecules for Chemogenomicsbased Drug Discovery (2006) (3)
- Cover Picture: Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off-Target Effects from Chemical Structure (ChemMedChem 6/2007) (2007) (2)
- SPREAD—exploiting chemical features that cause differential activity behavior (2009) (1)
- Dark chemical matter – could “inactive” compounds be good starting points for lead discovery? (2015) (0)
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What Are John Davies 's Academic Contributions?
John Davies is most known for their academic work in the field of history. They are also known for their academic work in the fields of
John Davies has made the following academic contributions:
