Institution
Novartis
Company•Basel, Switzerland•
About: Novartis is a company organization based out in Basel, Switzerland. It is known for research contribution in the topics: Alkyl & Population. The organization has 41930 authors who have published 50566 publications receiving 1978996 citations. The organization is also known as: Novartis International AG.
Topics: Alkyl, Population, Alkoxy group, Receptor, Cancer
Papers published on a yearly basis
Papers
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TL;DR: DKK1 is confirmed as an important therapeutic target in myeloma and the rationale for clinical evaluation of BHQ880 to improve bone disease and to inhibit MM growth is provided.
383 citations
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University of North Carolina at Chapel Hill1, Federal University of Paraíba2, University of Bonn3, Merck & Co.4, University of Copenhagen5, University of New Mexico6, University of Gothenburg7, Moscow State University8, University of Strasbourg9, University of Florida10, Duke University11, North Carolina State University12, University of California, Los Angeles13, University of Toronto14, Novartis15, University of British Columbia16
TL;DR: This Perspective summarizes recent technological advances in QSAR modeling but it also highlights the applicability of algorithms, modeling methods, and validation practices developed inQSAR to a wide range of research areas outside of traditional QSar boundaries including synthesis planning, nanotechnology, materials science, biomaterials, and clinical informatics.
Abstract: Prediction of chemical bioactivity and physical properties has been one of the most important applications of statistical and more recently, machine learning and artificial intelligence methods in chemical sciences. This field of research, broadly known as quantitative structure–activity relationships (QSAR) modeling, has developed many important algorithms and has found a broad range of applications in physical organic and medicinal chemistry in the past 55+ years. This Perspective summarizes recent technological advances in QSAR modeling but it also highlights the applicability of algorithms, modeling methods, and validation practices developed in QSAR to a wide range of research areas outside of traditional QSAR boundaries including synthesis planning, nanotechnology, materials science, biomaterials, and clinical informatics. As modern research methods generate rapidly increasing amounts of data, the knowledge of robust data-driven modelling methods professed within the QSAR field can become essential for scientists working both within and outside of chemical research. We hope that this contribution highlighting the generalizable components of QSAR modeling will serve to address this challenge.
383 citations
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Wellcome Trust Sanger Institute1, Cambridge University Hospitals NHS Foundation Trust2, University of London3, University College London4, University of Oxford5, Liverpool School of Tropical Medicine6, Quadram Institute7, Pasteur Institute8, University of Melbourne9, University of Birmingham10, Emory University11, Centers for Disease Control and Prevention12, Kenya Medical Research Institute13, University of Liverpool14, University of Malawi15, Institute of Tropical Medicine Antwerp16, Katholieke Universiteit Leuven17, University of the Republic18, International Vaccine Institute19, Novartis20, University of the Witwatersrand21, Nagasaki University22, Patan Academy of Health Sciences23, World Health Organization24, Hasanuddin University25, Mahosot Hospital26, Mahidol University27, University of Otago28, Public Health England29, Angkor Hospital for Children30
TL;DR: This whole-genome sequence analysis of Salmonella enterica serovar Typhi identifies a single dominant MDR lineage, H58, that has emerged and spread throughout Asia and Africa over the last 30 years, and identifies numerous transmissions of H58.
Abstract: The emergence of multidrug-resistant (MDR) typhoid is a major global health threat affecting many countries where the disease is endemic. Here whole-genome sequence analysis of 1,832 Salmonella enterica serovar Typhi (S. Typhi) identifies a single dominant MDR lineage, H58, that has emerged and spread throughout Asia and Africa over the last 30 years. Our analysis identifies numerous transmissions of H58, including multiple transfers from Asia to Africa and an ongoing, unrecognized MDR epidemic within Africa itself. Notably, our analysis indicates that H58 lineages are displacing antibiotic-sensitive isolates, transforming the global population structure of this pathogen. H58 isolates can harbor a complex MDR element residing either on transmissible IncHI1 plasmids or within multiple chromosomal integration sites. We also identify new mutations that define the H58 lineage. This phylogeographical analysis provides a framework to facilitate global management of MDR typhoid and is applicable to similar MDR lineages emerging in other bacterial species.
383 citations
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TL;DR: The design and implementation of a high-throughput structural genomics pipeline and its application to the proteome of the thermophilic bacterium Thermotoga maritima is described and successfully cloned and attempted expression of 1,376 of the predicted 1,877 genes.
Abstract: Structural genomics is emerging as a principal approach to define protein structure–function relationships. To apply this approach on a genomic scale, novel methods and technologies must be developed to determine large numbers of structures. We describe the design and implementation of a high-throughput structural genomics pipeline and its application to the proteome of the thermophilic bacterium Thermotoga maritima. By using this pipeline, we successfully cloned and attempted expression of 1,376 of the predicted 1,877 genes (73%) and have identified crystallization conditions for 432 proteins, comprising 23% of the T. maritima proteome. Representative structures from TM0423 glycerol dehydrogenase and TM0449 thymidylate synthase-complementing protein are presented as examples of final outputs from the pipeline.
383 citations
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TL;DR: Visual acuity in SUSTAIN patients with individualized re-treatment based on VA/optical coherence tomography assessment reached on average a maximum after the first 3 monthly injections, decreased slightly under PRN during the next 2 to 3 months, and was then sustained throughout the treatment period.
382 citations
Authors
Showing all 41972 results
Name | H-index | Papers | Citations |
---|---|---|---|
Irving L. Weissman | 201 | 1141 | 172504 |
Peter J. Barnes | 194 | 1530 | 166618 |
Paul G. Richardson | 183 | 1533 | 155912 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Jie Zhang | 178 | 4857 | 221720 |
Lei Jiang | 170 | 2244 | 135205 |
Marc A. Pfeffer | 166 | 765 | 133043 |
Jorge E. Cortes | 163 | 2784 | 124154 |
Ian A. Wilson | 158 | 971 | 98221 |
Peter G. Schultz | 156 | 893 | 89716 |
Bruce D. Walker | 155 | 779 | 86020 |
Timothy P. Hughes | 145 | 831 | 91357 |
Kurt Wüthrich | 143 | 739 | 103253 |
Leonard Guarente | 143 | 352 | 80169 |
Christopher D.M. Fletcher | 138 | 674 | 82484 |