Jonas Boström

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Do structurally similar ligands bind in a similar fashion?

Stefan Schmitt, Jonas Boström, A. Hogner, 2006, Journal of medicinal chemistry.

Where Do Recent Small Molecule Clinical Development Candidates Come From?

Jonas Boström, Dean G. Brown, 2018, Journal of medicinal chemistry.

Assessing the performance of OMEGA with respect to retrieving bioactive conformations.

Jonas Boström, Johan Gottfries, J. Greenwood, 2003, Journal of molecular graphics & modelling.

Analysis of Past and Present Synthetic Methodologies on Medicinal Chemistry: Where Have All the New Reactions Gone?

Jonas Boström, Jonas Boström, Dean G. Brown, 2016, Journal of medicinal chemistry.

Oxadiazoles in medicinal chemistry.

Jonas Boström, Anders Hogner, Alleyn T Plowright, 2012, Journal of medicinal chemistry.

Follow-on drugs: how far should chemists look?

Jonas Boström, Christian Tyrchan, Fabrizio Giordanetto, 2011, Drug discovery today.

Expanding the medicinal chemistry synthetic toolbox

Jonas Boström, György M. Keserü, G. Keserü, 2018, Nature Reviews Drug Discovery.

Synthesis, structure-property relationships and pharmacokinetic evaluation of ethyl 6-aminonicotinate sulfonylureas as antagonists of the P2Y₁₂ receptor.

Jonas Boström, P. Bach, M. O'Sullivan, 2013, European journal of medicinal chemistry.

Understanding our love affair with p-chlorophenyl: present day implications from historical biases of reagent selection.

Jonas Boström, Dean G. Brown, Moriah M Gagnon, 2015, Journal of medicinal chemistry.

Discovery and Evaluation of Anti-Fibrinolytic Plasmin Inhibitors Derived from 5-(4-Piperidyl)isoxazol-3-ol (4-PIOL)

Thomas C. Schmidt, Thomas C Schmidt, D. Cosgrove, 2017, J. Chem. Inf. Model..

Discovery of the Fibrinolysis Inhibitor AZD6564, Acting via Interference of a Protein-Protein Interaction.

W. Lindberg, A. Plowright, Yafeng Xue, 2014, ACS medicinal chemistry letters.

Novel thioamide derivatives as neutral CB1 receptor antagonists.

S. Hjorth, Jonas Boström, P. Greasley, 2010, Bioorganic & medicinal chemistry letters.

A novel series of piperazinyl-pyridine ureas as antagonists of the purinergic P2Y12 receptor.

Jonas Boström, P. Bach, K. Brickmann, 2011, Bioorganic & medicinal chemistry letters.

Coupled Cluster and Møller-Plesset Perturbation Theory Calculations of Noncovalent Intermolecular Interactions using Density Fitting with Auxiliary Basis Sets from Cholesky Decompositions.

Jonas Boström, Roland Lindh, Francesco Aquilante, 2012, Journal of chemical theory and computation.

Identification and analyses of inhibitors targeting apolipoprotein(a) kringle domains KIV-7, KIV-10, and KV provide insight into kringle domain function

A. Sabirsh, Tomas Åkerud, S. Martinsson, 2020, The Journal of Biological Chemistry.

A High-Throughput Method for Screening for Genes Controlling Bacterial Conjugation of Antibiotic Resistance

J. Warringer, A. Farewell, P. Sunnerhagen, 2020, mSystems.

Design of a Small Molecule That Stimulates VEGFA Informed from an Expanded Encyclopedia of RNA Fold-Small Molecule Interactions

Hafeez S Haniff, M. Disney, Malin Lemurell, 2019 .

Can 'easy' chemistry produce complex, diverse, and novel molecules?

Jonas Boström, A. Tomberg, 2020, Drug discovery today.

Ultimate strength study of composite plates Postbuckling analysis using semi-analytical methods

Jonas Boström, E. Braaten, 2013 .

Symmetric kv1.5 blockers discovered by focused screening.

Jonas Boström, Jonas Boström, 2012, ACS medicinal chemistry letters.

Conformational energy penalties of protein-bound ligands

Jonas Boström, Per-Ola Norrby, Tommy Liljefors, 1998, J. Comput. Aided Mol. Des..

Scaffold hopping, synthesis and structure-activity relationships of 5,6-diaryl-pyrazine-2-amide derivatives: a novel series of CB1 receptor antagonists.

Jonas Boström, Jonas Boström, Thomas Elebring, 2007, Bioorganic & medicinal chemistry.

Lactam sulfonamides as potent inhibitors of the Kv1.5 potassium ion channel.

G. Strandlund, A. Åstrand, Jonas Boström, 2014, Bioorganic & medicinal chemistry letters.

Design of a small molecule that stimulates vascular endothelial growth factor A enabled by screening RNA fold–small molecule interactions

Hafeez S Haniff, Ilyas Yildirim, M. Disney, 2020, Nature Chemistry.

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design

Jonas Boström, Göran Falkman, Alexander Karlsson, 2019, J. Chem. Inf. Model..

Potent fibrinolysis inhibitor discovered by shape and electrostatic complementarity to the drug tranexamic acid.

J. A. Grant, Jonas Boström, A. Thelin, 2013, Journal of medicinal chemistry.

Cholesky Decomposition Techniques in Electronic Structure Theory

Roland Lindh, Francesco Aquilante, Thomas Bondo Pedersen, 2011 .

Reproducing the conformations of protein-bound ligands: A critical evaluation of several popular conformational searching tools

Jonas Boström, Jonas Boström, 2001, J. Comput. Aided Mol. Des..

Ultimate strength study of composite plates

Jonas Boström, Erik Braaten, Jonas Boström, 2013 .

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data

Jonas Boström, Göran Falkman, Alexander Karlsson, 2018, J. Integr. Bioinform..

Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties

Jonas Boström, Göran Falkman, Alexander Karlsson, 2018, PACBB.

Analytical Gradients of the Second-Order Moller-Plesset Energy Using Cholesky Decompositions

Jonas Boström, Roland Lindh, Francesco Aquilante, 2014 .

Synthesis and evaluation of diphenylphosphinic amides and diphenylphosphine oxides as inhibitors of Kv1.5.

A. Åstrand, Jonas Boström, T. Fex, 2013, Bioorganic & medicinal chemistry letters.

On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods

Jonas Boström, Esther Heid, Giovanni Bolcato, 2021, J. Chem. Inf. Model..

Molecular Rift: Virtual Reality for Drug Designers

Jonas Boström, Joakim Eriksson, Magnus Norrby, 2015, J. Chem. Inf. Model..

Calibration of Cholesky Auxiliary Basis Sets for Multiconfigurational Perturbation Theory Calculations of Excitation Energies.

Jonas Boström, Roland Lindh, Francesco Aquilante, 2010, Journal of chemical theory and computation.

Analytical Gradients of Hartree-Fock Exchange with Density Fitting Approximations.

Jonas Boström, Roland Lindh, Francesco Aquilante, 2013, Journal of chemical theory and computation.

A NEMO potential that includes the dipole–quadrupole and quadrupole–quadrupole polarizability

Jonas Boström, Roland Lindh, Asbjørn Holt, 2010, J. Comput. Chem..

Using Matched Molecular Series as a Predictive Tool To Optimize Biological Activity

Jonas Boström, Roger A. Sayle, Noel M. O'Boyle, 2014, Journal of medicinal chemistry.

A 3D QSAR Study on a Set of Dopamine D4 Receptor Antagonists

Gerhard Klebe, Klaus Gundertofte, Jonas Boström, 2003, J. Chem. Inf. Comput. Sci..

Reusability report: Learning the language of synthetic methods used in medicinal chemistry

Jonas Boström, Jon Paul Janet, Anna Tomberg, 2021, Nature Machine Intelligence.

Exploiting Structural Information in Patent Specifications for Key Compound Prediction

Jonas Boström, Jon Winter, Sorel Muresan, 2012, J. Chem. Inf. Model..

5-alkyl-1,3-oxazole derivatives of 6-amino-nicotinic acids as alkyl ester bioisosteres are antagonists of the P2Y12 receptor.

E. Laird, D. Clarke, Jonas Boström, 2013, Future medicinal chemistry.

Oxadiazoles in medicinal chemistry.

A. Plowright, Jonas Boström, A. Hogner, 2012, Journal of medicinal chemistry.

Exploiting personalized information for reagent selection in drug design.

Jonas Boström, C. Tyrchan, N. Falk, 2011, Drug discovery today.

Where Do Recent Small Molecule Clinical Development Candidates Come From?

Jonas Boström, Dean G. Brown, 2018, Journal of medicinal chemistry.

Ab Initio Density Fitting: Accuracy Assessment of Auxiliary Basis Sets from Cholesky Decompositions.

Jonas Boström, Roland Lindh, Francesco Aquilante, 2009, Journal of chemical theory and computation.

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design

Alexander Karlsson, Jonas Boström, Niclas Ståhl, 2019, Journal of Chemical Information and Modeling.

A pharmacophore model for dopamine D4 receptor antagonists

Jonas Boström, Klaus Gundertofte, Tommy Liljefors, 2000, J. Comput. Aided Mol. Des..

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data

Alexander Karlsson, Jonas Boström, Niclas Ståhl, 2018, J. Integr. Bioinform..

Computational chemistry-driven decision making in lead generation.

Jonas Boström, Volker Schnecke, V. Schnecke, 2006, Drug discovery today.

A new module for constrained multi‐fragment geometry optimization in internal coordinates implemented in the MOLCAS package

Jonas Boström, Valera Veryazov, Victor Vysotskiy, 2013, J. Comput. Chem..

Transformers for future medicinal chemists

Jonas Boström, Jonas Boström, 2021, Nature Machine Intelligence.

Using Matched Molecular Series as a Predictive Tool To Optimize Biological Activity

Noel M. O'Boyle, R. Sayle, Jonas Boström, 2014, Journal of medicinal chemistry.