Lista de obras - Ross D. King - Dominio Público Uruguay

A Tool for Multiple Targeted Genome Deletions that Is Precise, Scar-Free, and Suitable for Automation

artículo científico publicado en 2015

A new 3D molecular structure representation using quantum topology with application to structure–property relationships

artículo científico publicado en 2000

Adam (robot scientist)

robot de Ross D. King, Stephen Muggleton, Douglas Kell y Stephen Oliver

An investigation into eukaryotic pseudouridine synthases

artículo científico

An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems

artículo científico publicado en 2009

An ontology for a Robot Scientist.

artículo científico publicado en 2006

An ontology of scientific experiments

artículo científico

Are the current ontologies in biology good ontologies?

artículo científico

Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases

artículo científico publicado en 2015

Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast

scientific article published on 16 August 2019

Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA.

artículo científico publicado en 2017

Confirmation of data mining based predictions of protein function

artículo científico publicado en 2004

Enhancement of plant metabolite fingerprinting by machine learning

artículo científico publicado en 2010

Finding motifs in protein secondary structure for use in function prediction

artículo científico publicado en 2006

Functional bioinformatics for Arabidopsis thaliana.

artículo científico publicado en 2006

Functional expression of parasite drug targets and their human orthologs in yeast

artículo científico publicado en 2011

Functional genomic hypothesis generation and experimentation by a robot scientist

artículo científico publicado en 2004

Further developments towards a genome-scale metabolic model of yeast

artículo científico publicado en 2010

Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops

artículo científico publicado en 2005

Homology induction: the use of machine learning to improve sequence similarity searches

artículo científico publicado en 2002

Intelligent software for laboratory automation

artículo científico publicado en 2004

Locational distribution of gene functional classes in Arabidopsis thaliana

artículo científico publicado en 2007

Machine learning approach for the prediction of protein secondary structure.

artículo científico publicado en 1990

Merits of random forests emerge in evaluation of chemometric classifiers by external validation

artículo científico publicado en 2013

Modelling the structure and function of enzymes by machine learning

artículo científico publicado el 1 de enero de 1992

New approach to pharmacophore mapping and QSAR analysis using inductive logic programming. Application to thermolysin inhibitors and glycogen phosphorylase B inhibitors.

artículo científico publicado en 2002

On the formalization and reuse of scientific research

artículo científico publicado en 2011

On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning.

artículo científico publicado en 2000

On the use of qualitative reasoning to simulate and identify metabolic pathways.

artículo científico publicado en 2005

Overhauling the PDB

article published in 2007

Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan

artículo científico publicado en 2018

Predicting gene function in Saccharomyces cerevisiae

artículo científico publicado en 2003

Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.

artículo científico publicado en 1994

Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines

artículo científico publicado en 1994

Representation of molecular structure using quantum topology with inductive logic programming in structure–activity relationships

artículo científico publicado en 2006

Representation of probabilistic scientific knowledge

artículo científico publicado en 2013

Representation, simulation, and hypothesis generation in graph and logical models of biological networks

artículo científico publicado en 2011

Statistical evaluation of the Predictive Toxicology Challenge 2000-2001.

artículo científico publicado en 2003

Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming

artículo científico publicado en 1996

Testing the reproducibility and robustness of the cancer biology literature by robot

artículo científico publicado en 2022

The EXACT description of biomedical protocols

artículo científico

The automation of science.

artículo científico publicado en 2009

The use of weighted graphs for large-scale genome analysis

artículo científico publicado en 2014

Towards Robot Scientists for autonomous scientific discovery.

artículo científico publicado en 2010

Transformational machine learning: Learning how to learn from many related scientific problems

artículo científico publicado en 2021

Using a logical model to predict the growth of yeast

artículo científico publicado en 2008

Warmr: a data mining tool for chemical data

artículo científico publicado en 2001

Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds

artículo científico publicado en 2013

Lista de obras de Ross D. King

A Tool for Multiple Targeted Genome Deletions that Is Precise, Scar-Free, and Suitable for Automation

A new 3D molecular structure representation using quantum topology with application to structure–property relationships

Adam (robot scientist)

An investigation into eukaryotic pseudouridine synthases

An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems

An ontology for a Robot Scientist.

An ontology of scientific experiments

Are the current ontologies in biology good ontologies?

Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases

Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast

Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA.

Confirmation of data mining based predictions of protein function

Enhancement of plant metabolite fingerprinting by machine learning

Finding motifs in protein secondary structure for use in function prediction

Functional bioinformatics for Arabidopsis thaliana.

Functional expression of parasite drug targets and their human orthologs in yeast

Functional genomic hypothesis generation and experimentation by a robot scientist

Further developments towards a genome-scale metabolic model of yeast

Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops

Homology induction: the use of machine learning to improve sequence similarity searches

Intelligent software for laboratory automation

Locational distribution of gene functional classes in Arabidopsis thaliana

Machine learning approach for the prediction of protein secondary structure.

Merits of random forests emerge in evaluation of chemometric classifiers by external validation

Modelling the structure and function of enzymes by machine learning

New approach to pharmacophore mapping and QSAR analysis using inductive logic programming. Application to thermolysin inhibitors and glycogen phosphorylase B inhibitors.

On the formalization and reuse of scientific research

On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning.

On the use of qualitative reasoning to simulate and identify metabolic pathways.

Overhauling the PDB

Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan

Predicting gene function in Saccharomyces cerevisiae

Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.

Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines

Representation of molecular structure using quantum topology with inductive logic programming in structure–activity relationships

Representation of probabilistic scientific knowledge

Representation, simulation, and hypothesis generation in graph and logical models of biological networks

Statistical evaluation of the Predictive Toxicology Challenge 2000-2001.

Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming

Testing the reproducibility and robustness of the cancer biology literature by robot

The EXACT description of biomedical protocols

The automation of science.

The use of weighted graphs for large-scale genome analysis

Towards Robot Scientists for autonomous scientific discovery.

Transformational machine learning: Learning how to learn from many related scientific problems

Using a logical model to predict the growth of yeast

Warmr: a data mining tool for chemical data

Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds