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F. Javier Luque   Professor  Senior Scientist or Principal Investigator 
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F. Javier Luque published an article in February 2019.
Research Keywords & Expertise See all
0 A
0 ACHE
0 Central Nervous System
0 Molecular Dynamics
0 Structural
0 migration
Top co-authors See all
Fernando Albericio

831 shared publications

Peptide Science Laboratory, School of Chemistry and Physics, University of KwaZulu-Natal, University Road, Westville, Durban 4001, South Africa

Elies Molins

443 shared publications

Institut de Ciència de Materials de Barcelona (ICMAB-CSIC), Campus UAB, 08193 Cerdanyola, Spain

Modesto Orozco López

383 shared publications

Institute for Research in Biomedicine (IRB Barcelona); The Barcelona Institute of Science and Technology (BIST); Baldiri Reixac 10 Barcelona 08028 Spain

Joan Bosch

376 shared publications

Laboratory of Organic Chemistry, Faculty of Pharmacy and Food Sciences, and Institute of Biomedicine (IBUB), University of Barcelona, 08028 Barcelona, Spain

Kelly Chibale

235 shared publications

Department of Chemistry, University of Cape Town, Rondebosch 7701, South Africa

234
Publications
35
Reads
14
Downloads
423
Citations
Publication Record
Distribution of Articles published per year 
(1995 - 2019)
Total number of journals
published in
 
28
 
Publications See all
Article 0 Reads 0 Citations Development of a Structure-Based, pH-Dependent Lipophilicity Scale of Amino Acids from Continuum Solvation Calculations William J. Zamora, Josep Maria Campanera, F. Javier Luque Published: 12 February 2019
The Journal of Physical Chemistry Letters, doi: 10.1021/acs.jpclett.9b00028
DOI See at publisher website
Article 0 Reads 0 Citations Identification of Dihydrofuro[3,4-d]pyrimidine Derivatives as Novel HIV-1 Non-Nucleoside Reverse Transcriptase Inhibitor... Dongwei Kang, Heng Zhang, Zhao Wang, Tong Zhao, Tiziana Gine... Published: 09 January 2019
Journal of Medicinal Chemistry, doi: 10.1021/acs.jmedchem.8b01656
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EDITORIAL 0 Reads 0 Citations Breakthroughs in Medicinal Chemistry: New Targets and Mechanisms, New Drugs, New Hopes–4 Arduino A Mangoni, Catherine Guillou, Jean Jacques Vanden Ey... Published: 31 December 2018
Molecules, doi: 10.3390/molecules24010130
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Breakthroughs in Medicinal Chemistry: New Targets and Mechanisms, New Drugs, New Hopes is a series of Editorials, which is published on a biannual basis by the Editorial Board of the Medicinal Chemistry section of the journal Molecules.
Article 0 Reads 0 Citations Thermal Stability of Globins: Implications of Flexibility and Heme Coordination Studied by Molecular Dynamics Simulation... Laia Julió Plana, Alejandro D. Nadra, Dario A. Estrin, F. Ja... Published: 05 December 2018
Journal of Chemical Information and Modeling, doi: 10.1021/acs.jcim.8b00840
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Article 2 Reads 0 Citations Frontiers in Computational Chemistry for Drug Discovery F. Javier Luque Published: 03 November 2018
Molecules, doi: 10.3390/molecules23112872
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Computational methods pervade almost all aspects of drug discovery
Article 0 Reads 0 Citations Multiple Multicomponent Reactions: Unexplored Substrates, Selective Processes, and Versatile Chemotypes in Biomedicine Ouldouz Ghashghaei, Samantha Caputo, Miquel Sintes, Marc Rev... Published: 28 August 2018
Chemistry – A European Journal, doi: 10.1002/chem.201802877
DOI See at publisher website
Conference papers
CONFERENCE-ARTICLE 30 Reads 0 Citations Field-based virtual screening: New trends to increase the chemical diversity of your leads Alessandro Deplano, Javier Vázquez, Albert Herrero, Enric Gi... Published: 31 October 2018
doi: 10.3390/ecmc-4-05589
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Computational chemistry methods can significantly reduce experimental costs in early stages of a drug development project by filtering out unsuitable candidates and discovering new chemical matter. Molecular alignment is a key pre-requisite for 3D similarity evaluation between compounds and pharmacophore elucidation. Relying on the hypothesis that the variation in maximal achievable binding affinity for an optimized drug-like molecule is largely due to desolvation, we explore herein a novel small molecule 3D alignment strategy that exploits the partitioning of molecular hydrophobicity into atomic contributions in conjunction with information about the distribution of hydrogen-bond donor/acceptor groups in each compound. A brief description of the method, as implemented in the software package PharmScreen, is presented. The computational procedure is calibrated by using a dataset of 402 molecules pertaining to 14 distinct targets taken from the literature and validated against the CCDC AstraZeneca test set of 121 experimentally derived molecular overlays. The results confirm the suitability of MST based-hydrophobic parameters for generating molecular overlays with correct predictions obtained for 100%, 93%, and 55% of the molecules classified into easy, moderate and hard sets, respectively. The potential of this tool in a drug discovery campaign is then evaluated in a retrospective study with the aim to evaluate the correlations between activities and similarity score of a series of sigma-1 receptor ligands. The results confirm the suitability of the tool for Drug Discovery purposes finding the 67% of the most active ligands (≤10 nM) in Q1 of the ranking and the most active compound in position five.

Conferences user registered
15.05 - 17.05 2019, Physical conference 2nd Molecules Medicinal Chemistry Symposium Chaired by Diego Muñoz-Torrero , F Javier Luque
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