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Philip G. Williams

Bio: Philip G. Williams is an academic researcher from University of Hawaii at Manoa. The author has contributed to research in topics: Salinispora tropica & Salinispora arenicola. The author has an hindex of 32, co-authored 95 publications receiving 5168 citations. Previous affiliations of Philip G. Williams include University of California, San Diego & National Institute of Water and Atmospheric Research.


Papers
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Journal ArticleDOI
Mingxun Wang1, Jeremy Carver1, Vanessa V. Phelan2, Laura M. Sanchez2, Neha Garg2, Yao Peng1, Don D. Nguyen1, Jeramie D. Watrous2, Clifford A. Kapono1, Tal Luzzatto-Knaan2, Carla Porto2, Amina Bouslimani2, Alexey V. Melnik2, Michael J. Meehan2, Wei-Ting Liu3, Max Crüsemann4, Paul D. Boudreau4, Eduardo Esquenazi, Mario Sandoval-Calderón5, Roland D. Kersten6, Laura A. Pace2, Robert A. Quinn7, Katherine R. Duncan8, Cheng-Chih Hsu1, Dimitrios J. Floros1, Ronnie G. Gavilan, Karin Kleigrewe4, Trent R. Northen9, Rachel J. Dutton10, Delphine Parrot11, Erin E. Carlson12, Bertrand Aigle13, Charlotte Frydenlund Michelsen14, Lars Jelsbak14, Christian Sohlenkamp5, Pavel A. Pevzner1, Anna Edlund15, Anna Edlund16, Jeffrey S. McLean15, Jeffrey S. McLean17, Jörn Piel18, Brian T. Murphy19, Lena Gerwick4, Chih-Chuang Liaw20, Yu-Liang Yang21, Hans-Ulrich Humpf22, Maria Maansson14, Robert A. Keyzers23, Amy C. Sims24, Andrew R. Johnson25, Ashley M. Sidebottom25, Brian E. Sedio26, Andreas Klitgaard14, Charles B. Larson2, Charles B. Larson4, Cristopher A. Boya P., Daniel Torres-Mendoza, David Gonzalez2, Denise Brentan Silva27, Denise Brentan Silva28, Lucas Miranda Marques28, Daniel P. Demarque28, Egle Pociute, Ellis C. O’Neill4, Enora Briand11, Enora Briand4, Eric J. N. Helfrich18, Eve A. Granatosky29, Evgenia Glukhov4, Florian Ryffel18, Hailey Houson, Hosein Mohimani1, Jenan J. Kharbush4, Yi Zeng1, Julia A. Vorholt18, Kenji L. Kurita30, Pep Charusanti1, Kerry L. McPhail31, Kristian Fog Nielsen14, Lisa Vuong, Maryam Elfeki19, Matthew F. Traxler32, Niclas Engene33, Nobuhiro Koyama2, Oliver B. Vining31, Ralph S. Baric24, Ricardo Pianta Rodrigues da Silva28, Samantha J. Mascuch4, Sophie Tomasi11, Stefan Jenkins9, Venkat R. Macherla, Thomas Hoffman, Vinayak Agarwal4, Philip G. Williams34, Jingqui Dai34, Ram P. Neupane34, Joshua R. Gurr34, Andrés M. C. Rodríguez28, Anne Lamsa1, Chen Zhang1, Kathleen Dorrestein2, Brendan M. Duggan2, Jehad Almaliti2, Pierre-Marie Allard35, Prasad Phapale, Louis-Félix Nothias36, Theodore Alexandrov, Marc Litaudon36, Jean-Luc Wolfender35, Jennifer E. Kyle37, Thomas O. Metz37, Tyler Peryea38, Dac-Trung Nguyen38, Danielle VanLeer38, Paul Shinn38, Ajit Jadhav38, Rolf Müller, Katrina M. Waters37, Wenyuan Shi15, Xueting Liu39, Lixin Zhang39, Rob Knight1, Paul R. Jensen4, Bernhard O. Palsson1, Kit Pogliano1, Roger G. Linington30, Marcelino Gutiérrez, Norberto Peporine Lopes28, William H. Gerwick4, William H. Gerwick2, Bradley S. Moore4, Bradley S. Moore2, Pieter C. Dorrestein2, Pieter C. Dorrestein4, Nuno Bandeira2, Nuno Bandeira1 
TL;DR: In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations and data-driven social-networking should facilitate identification of spectra and foster collaborations.
Abstract: The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry (MS) techniques are well-suited to high-throughput characterization of NP, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social Molecular Networking (GNPS; http://gnps.ucsd.edu), an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of 'living data' through continuous reanalysis of deposited data.

2,365 citations

Journal ArticleDOI
TL;DR: This review focuses on recent developments in the use of natural products as therapeutics for Alzheimer's disease and discusses more than 180 compounds and summarizes 400 references.

327 citations

Journal ArticleDOI
TL;DR: Continued efforts to characterize marine actinomycete diversity and how adaptations to the marine environment affect secondary metabolite production will create a better understanding of the potential utility of these bacteria as a source of useful products for biotechnology.
Abstract: Microbial natural products remain an important resource for drug discovery yet the microorganisms inhabiting the world's oceans have largely been overlooked in this regard. The recent discovery of novel secondary metabolites from taxonomically unique populations of marine actinomycetes suggests that these bacteria add an important new dimension to microbial natural product research. Continued efforts to characterize marine actinomycete diversity and how adaptations to the marine environment affect secondary metabolite production will create a better understanding of the potential utility of these bacteria as a source of useful products for biotechnology.

324 citations

Journal ArticleDOI
TL;DR: These results conform to a model of selection-driven pathway fixation occurring subsequent to gene acquisition and provide a rare example in which demonstrable physiological traits have been correlated to the fine-scale phylogenetic architecture of an environmental bacterial community.
Abstract: Here we report associations between secondary metabolite production and phylogenetically distinct but closely related marine actinomycete species belonging to the genus Salinispora. The pattern emerged in a study that included global collection sites, and it indicates that secondary metabolite production can be a species-specific, phenotypic trait associated with broadly distributed bacterial populations. Associations between actinomycete phylotype and chemotype revealed an effective, diversity-based approach to natural product discovery that contradicts the conventional wisdom that secondary metabolite production is strain specific. The structural diversity of the metabolites observed, coupled with gene probing and phylogenetic analyses, implicates lateral gene transfer as a source of the biosynthetic genes responsible for compound production. These results conform to a model of selection-driven pathway fixation occurring subsequent to gene acquisition and provide a rare example in which demonstrable physiological traits have been correlated to the fine-scale phylogenetic architecture of an environmental bacterial community.

308 citations

Journal ArticleDOI
TL;DR: This review will focus on several recently discovered compounds, primarily from cyanobacteria and actinobacteria, that illustrate the tremendous potential of marine bacteria as a source of new therapeutics within the areas of oncology and infectious diseases.

204 citations


Cited by
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Journal ArticleDOI
Evan Bolyen1, Jai Ram Rideout1, Matthew R. Dillon1, Nicholas A. Bokulich1, Christian C. Abnet2, Gabriel A. Al-Ghalith3, Harriet Alexander4, Harriet Alexander5, Eric J. Alm6, Manimozhiyan Arumugam7, Francesco Asnicar8, Yang Bai9, Jordan E. Bisanz10, Kyle Bittinger11, Asker Daniel Brejnrod7, Colin J. Brislawn12, C. Titus Brown4, Benjamin J. Callahan13, Andrés Mauricio Caraballo-Rodríguez14, John Chase1, Emily K. Cope1, Ricardo Silva14, Christian Diener15, Pieter C. Dorrestein14, Gavin M. Douglas16, Daniel M. Durall17, Claire Duvallet6, Christian F. Edwardson, Madeleine Ernst14, Madeleine Ernst18, Mehrbod Estaki17, Jennifer Fouquier19, Julia M. Gauglitz14, Sean M. Gibbons20, Sean M. Gibbons15, Deanna L. Gibson17, Antonio Gonzalez14, Kestrel Gorlick1, Jiarong Guo21, Benjamin Hillmann3, Susan Holmes22, Hannes Holste14, Curtis Huttenhower23, Curtis Huttenhower24, Gavin A. Huttley25, Stefan Janssen26, Alan K. Jarmusch14, Lingjing Jiang14, Benjamin D. Kaehler25, Benjamin D. Kaehler27, Kyo Bin Kang28, Kyo Bin Kang14, Christopher R. Keefe1, Paul Keim1, Scott T. Kelley29, Dan Knights3, Irina Koester14, Tomasz Kosciolek14, Jorden Kreps1, Morgan G. I. Langille16, Joslynn S. Lee30, Ruth E. Ley31, Ruth E. Ley32, Yong-Xin Liu, Erikka Loftfield2, Catherine A. Lozupone19, Massoud Maher14, Clarisse Marotz14, Bryan D Martin20, Daniel McDonald14, Lauren J. McIver24, Lauren J. McIver23, Alexey V. Melnik14, Jessica L. Metcalf33, Sydney C. Morgan17, Jamie Morton14, Ahmad Turan Naimey1, Jose A. Navas-Molina14, Jose A. Navas-Molina34, Louis-Félix Nothias14, Stephanie B. Orchanian, Talima Pearson1, Samuel L. Peoples35, Samuel L. Peoples20, Daniel Petras14, Mary L. Preuss36, Elmar Pruesse19, Lasse Buur Rasmussen7, Adam R. Rivers37, Michael S. Robeson38, Patrick Rosenthal36, Nicola Segata8, Michael Shaffer19, Arron Shiffer1, Rashmi Sinha2, Se Jin Song14, John R. Spear39, Austin D. Swafford, Luke R. Thompson40, Luke R. Thompson41, Pedro J. Torres29, Pauline Trinh20, Anupriya Tripathi14, Peter J. Turnbaugh10, Sabah Ul-Hasan42, Justin J. J. van der Hooft43, Fernando Vargas, Yoshiki Vázquez-Baeza14, Emily Vogtmann2, Max von Hippel44, William A. Walters32, Yunhu Wan2, Mingxun Wang14, Jonathan Warren45, Kyle C. Weber46, Kyle C. Weber37, Charles H. D. Williamson1, Amy D. Willis20, Zhenjiang Zech Xu14, Jesse R. Zaneveld20, Yilong Zhang47, Qiyun Zhu14, Rob Knight14, J. Gregory Caporaso1 
TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
Abstract: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and 1565057 to R.K. Partial support was also provided by the following: grants NIH U54CA143925 (J.G.C. and T.P.) and U54MD012388 (J.G.C. and T.P.); grants from the Alfred P. Sloan Foundation (J.G.C. and R.K.); ERCSTG project MetaPG (N.S.); the Strategic Priority Research Program of the Chinese Academy of Sciences QYZDB-SSW-SMC021 (Y.B.); the Australian National Health and Medical Research Council APP1085372 (G.A.H., J.G.C., Von Bing Yap and R.K.); the Natural Sciences and Engineering Research Council (NSERC) to D.L.G.; and the State of Arizona Technology and Research Initiative Fund (TRIF), administered by the Arizona Board of Regents, through Northern Arizona University. All NCI coauthors were supported by the Intramural Research Program of the National Cancer Institute. S.M.G. and C. Diener were supported by the Washington Research Foundation Distinguished Investigator Award.

8,821 citations

Journal ArticleDOI
TL;DR: This review covers the literature published in 2014 for marine natural products, with 1116 citations referring to compounds isolated from marine microorganisms and phytoplankton, green, brown and red algae, sponges, cnidarians, bryozoans, molluscs, tunicates, echinoderms, mangroves and other intertidal plants and microorganisms.

4,649 citations

Journal ArticleDOI
TL;DR: This year's update to the HMDB, HMDB 4.0, represents the most significant upgrade to the database in its history and should greatly enhance its ease of use and its potential applications in nutrition, biochemistry, clinical chemistry, clinical genetics, medicine, and metabolomics science.
Abstract: The Human Metabolome Database or HMDB (www.hmdb.ca) is a web-enabled metabolomic database containing comprehensive information about human metabolites along with their biological roles, physiological concentrations, disease associations, chemical reactions, metabolic pathways, and reference spectra. First described in 2007, the HMDB is now considered the standard metabolomic resource for human metabolic studies. Over the past decade the HMDB has continued to grow and evolve in response to emerging needs for metabolomics researchers and continuing changes in web standards. This year's update, HMDB 4.0, represents the most significant upgrade to the database in its history. For instance, the number of fully annotated metabolites has increased by nearly threefold, the number of experimental spectra has grown by almost fourfold and the number of illustrated metabolic pathways has grown by a factor of almost 60. Significant improvements have also been made to the HMDB's chemical taxonomy, chemical ontology, spectral viewing, and spectral/text searching tools. A great deal of brand new data has also been added to HMDB 4.0. This includes large quantities of predicted MS/MS and GC-MS reference spectral data as well as predicted (physiologically feasible) metabolite structures to facilitate novel metabolite identification. Additional information on metabolite-SNP interactions and the influence of drugs on metabolite levels (pharmacometabolomics) has also been added. Many other important improvements in the content, the interface, and the performance of the HMDB website have been made and these should greatly enhance its ease of use and its potential applications in nutrition, biochemistry, clinical chemistry, clinical genetics, medicine, and metabolomics science.

2,608 citations

Journal ArticleDOI
TL;DR: This review traces natural products drug discovery, outlining important drugs from natural sources that revolutionized treatment of serious diseases and effective drug development depends on multidisciplinary collaborations.

2,272 citations

Journal ArticleDOI
TL;DR: This work reviews strategies for natural product screening that harness the recent technical advances that have reduced technical barriers and assess the use of genomic and metabolomic approaches to augment traditional methods of studying natural products.
Abstract: Natural products have been a rich source of compounds for drug discovery. However, their use has diminished in the past two decades, in part because of technical barriers to screening natural products in high-throughput assays against molecular targets. Here, we review strategies for natural product screening that harness the recent technical advances that have reduced these barriers. We also assess the use of genomic and metabolomic approaches to augment traditional methods of studying natural products, and highlight recent examples of natural products in antimicrobial drug discovery and as inhibitors of protein-protein interactions. The growing appreciation of functional assays and phenotypic screens may further contribute to a revival of interest in natural products for drug discovery.

1,822 citations