Kiran Raosaheb Patil

发表

Evolutionary programming as a platform for in silico metabolic engineering

Jens Nielsen, Isabel Rocha, Kiran Raosaheb Patil, 2005, BMC Bioinformatics.

Impact of Stoichiometry Representation on Simulation of Genotype-Phenotype Relationships in Metabolic Networks

Kiran Raosaheb Patil, Costas D. Maranas, Ana Rita Brochado, 2012, PLoS Comput. Biol..

Natural computation meta-heuristics for the in silico optimization of microbial strains

Miguel Rocha, Eugénio C. Ferreira, Jens Nielsen, 2008, BMC Bioinformatics.

BioMet Toolbox: genome-wide analysis of metabolism

Intawat Nookaew, Jens Nielsen, Marija Cvijovic, 2010, Nucleic Acids Res..

Review Process File

Peer Bork, Kiran Raosaheb Patil, Jeroen Raes, 2012 .

Contribution of Network Connectivity in Determining the Relationship between Gene Expression and Metabolite Concentration Changes

Kiran Raosaheb Patil, Aleksej Zelezniak, Steven Sheridan, 2014, PLoS Comput. Biol..

Memote: A community driven effort towards a standardized genome-scale metabolic model test suite

Steffen Klamt, Anne Richelle, Hyun Uk Kim, 2018, bioRxiv.

Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

Kiran Raosaheb Patil, Arnau Montagud, Pedro Fernández de Córdoba, 2010, BMC Systems Biology.

Architecture of transcriptional regulatory circuits is knitted over the topology of bio-molecular interaction networks

Jens Nielsen, Kiran Raosaheb Patil, Ana Oliveira, 2008, BMC Systems Biology.

Random sampling of elementary flux modes in large-scale metabolic networks

Eugénio C. Ferreira, Isabel Rocha, Kiran Raosaheb Patil, 2012, Bioinform..

Extensive impact of non-antibiotic drugs on human gut bacteria

Peer Bork, Kiran Raosaheb Patil, Michael Kuhn, 2018, Nature.

PHUSER (Primer Help for USER): a novel tool for USER fusion primer design

Kiran Raosaheb Patil, Hans Jasper Genee, Bjarne Gram Hansen, 2011, Nucleic Acids Res..

Fast automated reconstruction of genome-scale metabolic models for microbial species and communities

Kiran Raosaheb Patil, Daniel Machado, Sergej Andrejev, 2018 .

Bioactivity assessment of natural compounds using machine learning models based on drug target similarity

Kiran Raosaheb Patil, Vinita Periwal, Athanasios Typas, 2020, bioRxiv.

In silico evolution leads to green chemical factory: Vanillin green cell factory

Kiran Raosaheb Patil, Ana Rita Brochado, Uffe Hasbro Mortensen, 2009 .

Metabolic models and gene essentiality data reveal essential and conserved metabolism in prokaryotes

Isabel Rocha, Kiran Raosaheb Patil, Joana C. Xavier, 2018, PLoS Comput. Biol..

Metabolic Network Topology Reveals Transcriptional Regulatory Signatures of Type 2 Diabetes

Kiran Raosaheb Patil, Aleksej Zelezniak, Simão Soares, 2010, PLoS Comput. Biol..

Global transcriptional response of Saccharomyces cerevisiae to the deletion of SDH3

Jens Nielsen, Kiran Raosaheb Patil, Chiara Schiraldi, 2009, BMC Systems Biology.

A systems and synthetic biology approach for improving wine yeast properties

Kiran Raosaheb Patil, Ramón González García, Pilar Morales, 2015 .

OptFlux: an open-source software platform for in silico metabolic engineering

Miguel Rocha, Eugénio C. Ferreira, Jens Nielsen, 2010, BMC Systems Biology.

An improved evolutionary algorithm-based framework for identifying in silico metabolic engineering targets

Eugénio C. Ferreira, Jens Nielsen, Isabel Rocha, 2006 .

OptFlux: a software for metabolic engineering

Jens Nielsen, Paulo Maia, Isabel Rocha, 2009 .

Use of genome-scale microbial models for metabolic engineering.

Kiran Raosaheb Patil, Jens Nielsen, Mats Akesson, 2004, Current opinion in biotechnology.

Multiplexed electron microscopy by fluorescent barcoding allows screening for ultrastructural phenotype

Kiran Raosaheb Patil, Maya Schuldiner, Nir Cohen, 2019, bioRxiv.

Yeast Creates a Niche for Symbiotic Lactic Acid Bacteria through Nitrogen Overflow

Kiran Raosaheb Patil, Uwe Sauer, Markus Ralser, 2017, Cell systems.

The role of high-throughput transcriptome analysis in metabolic engineering

Kiran Raosaheb Patil, Jens Nielsen, Michael Christopher Jewett, 2005 .

Systems Biology Perspectives on Minimal and Simpler Cells

Isabel Rocha, Kiran Raosaheb Patil, Joana C. Xavier, 2014, Microbiology and Molecular Reviews.

Model microbial communities for ecosystems biology

Kiran Raosaheb Patil, A. Oliveira, K. Patil, 2017 .

Integration of Biomass Formulations of Genome-Scale Metabolic Models with Experimental Data Reveals Universally Essential Cofactors in Prokaryotes

Isabel Rocha, Kiran Raosaheb Patil, Joana C. Xavier, 2015, Metabolic engineering.

Laboratory evolution reveals regulatory and metabolic trade-offs of glycerol utilization in Saccharomyces cerevisiae.

Adam M. Feist, Kiran Raosaheb Patil, Paula Jouhten, 2018, Metabolic engineering.

Hap4 Is Not Essential for Activation of Respiration at Low Specific Growth Rates in Saccharomyces cerevisiae*

Kiran Raosaheb Patil, Jens Nielsen, Lisbeth Olsson, 2006, Journal of Biological Chemistry.

Metabolic dependencies drive species co-occurrence in diverse microbial communities

Peer Bork, Kiran Raosaheb Patil, Aleksej Zelezniak, 2015, Proceedings of the National Academy of Sciences.

Metabolic interactions in microbial communities: untangling the Gordian knot.

Kiran Raosaheb Patil, K. Patil, Olga Ponomarova, 2015, Current opinion in microbiology.

Yeast metabolic chassis designs for diverse biotechnological products

Isabel Rocha, Kiran Raosaheb Patil, Tomasz Boruta, 2016, Scientific Reports.