Metal and cofactor insertion

Natural Product Reports
Ralf R MendelMartin J Warren


Cells require metal ions as cofactors for the assembly of metalloproteins. Principally one has to distinguish between metal ions that are directly incorporated into their cognate sites on proteins and those metal ions that have to become part of prosthetic groups, cofactors or complexes prior to insertion of theses moieties into target proteins. Molybdenum is only active as part of the molybdenum cofactor, iron can be part of diverse Fe-S clusters or of the heme group, while copper ions are directly delivered to their targets. We will focus in greater detail on molybdenum metabolism because molybdenum metabolism is a good example for demonstrating the role and the network of metals in metabolism: each of the three steps in the pathway of molybdenum cofactor formation depends on a different metal (iron, copper, molybdenum) and also the enzymes finally harbouring the molybdenum cofactor need additional metal-containing groups to function (iron sulfur-clusters, heme-iron).


Jan 15, 1985·Biochemistry·B M Harbin, H A Dailey
Nov 30, 1981·Biochemical and Biophysical Research Communications·E C Hatchikian
Mar 14, 1995·Proceedings of the National Academy of Sciences of the United States of America·C FuR J Maier
Mar 1, 1996·FEMS Microbiology Reviews·A Kletzin, M W Adams
Jan 1, 1997·Annual Review of Biochemistry·C KiskerDouglas C Rees
Jan 24, 1998·The Journal of Biological Chemistry·R KurasF A Wollman
Aug 28, 1998·Molecular Microbiology·R KranzS Merchant
Apr 2, 1999·European Journal of Biochemistry·M Kobayashi, S Shimizu
May 19, 2000·The Journal of Biological Chemistry·T V O'Halloran, V C Culotta
Sep 27, 2000·Proceedings of the National Academy of Sciences of the United States of America·C EnrothE F Pai
Oct 24, 2000·The Journal of Biological Chemistry·S Leimkühler, K V Rajagopalan
Feb 24, 2001·Cellular and Molecular Life Sciences : CMLS·H A DaileyB C Wang
May 5, 2001·Annual Review of Plant Physiology and Plant Molecular Biology·Jason ChristiansenLance C Seefeldt
Jun 8, 2001·Annual Review of Biochemistry·D L Huffman, T V O'Halloran
Nov 7, 1996·Chemical Reviews·Russ Hille
Aug 28, 2002·Natural Product Reports·Martin J WarrenJorge C Escalante-Semerena
Aug 28, 2002·Biochemical Society Transactions·H A Dailey
Aug 28, 2002·Biochemical Society Transactions·J D Reid, C N Hunter
Aug 28, 2002·Biochemical Society Transactions·H Wintz, C Vulpe
May 22, 2003·Trends in Plant Science·Johanna E CornahAlison G Smith
Jun 28, 2003·Natural Product Reports·Robert D Willows
Jul 19, 2003·The Journal of Biological Chemistry·Dmitry A RodionovMikhail S Gelfand
Aug 15, 2003·The Journal of Biological Chemistry·Helen K LeechMartin J Warren
Oct 7, 2003·Annual Review of Biochemistry·Ruma Banerjee, Stephen W Ragsdale
Jan 22, 2004·FEMS Microbiology Letters·Peter Hebbeln, Thomas Eitinger
May 18, 2004·Bioinformatics·Harm van BakelCisca Wijmenga
Jun 8, 2004·The Journal of Biological Chemistry·Petra HänzelmannHermann Schindelin
Nov 13, 2004·Genome Biology·Dmitry A RodionovMikhail S Gelfand
Dec 8, 2004·Archives of Biochemistry and Biophysics·Russ Hille
May 20, 2005·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Douglas C ReesJames B Howard
Sep 15, 2005·Journal of Bacteriology·Kaneyoshi Yamamoto, Akira Ishihama
Feb 14, 2006·Trends in Biochemical Sciences·Salam Al-KaradaghiGloria C Ferreira
Apr 25, 2006·Biochimica Et Biophysica Acta·Paul A CobineDennis R Winge
Nov 1, 1990·Plant Physiology·J Thomas, J D Weinstein
May 4, 2006·Annual Review of Plant Biology·Günter Schwarz, Ralf R Mendel
May 30, 2006·Nature Chemical Biology·Lucia BanciPetros Voulgaris
Jun 21, 2006·Biochimica Et Biophysica Acta·Ralf R Mendel, Florian Bittner
Jul 11, 2006·Annual Review of Cell and Developmental Biology·Roland Lill, Ulrich Mühlenhoff
Jul 13, 2006·Journal of Structural and Functional Genomics·Jiang YinMichael N G James
Jul 18, 2006·Biochimica Et Biophysica Acta·Roland LillUlrich Mühlenhoff
Jul 29, 2006·The Journal of Biological Chemistry·Katrin FischerGuenter Schwarz
Aug 10, 2006·Eukaryotic Cell·Martin T CroftAlison G Smith
Sep 30, 2006·The Journal of Biological Chemistry·Paul A CobineDennis R Winge
Oct 20, 2006·Proceedings of the National Academy of Sciences of the United States of America·Yilin HuMarkus W Ribbe
Sep 28, 2007·Natural Product Reports·Gemma L HollidayMartin J Warren
Sep 28, 2007·Natural Product Reports·Michael E WebbAlison G Smith


Jun 17, 2009·Nature Protocols·Antonio J PierikRoland Lill
Sep 28, 2007·Natural Product Reports·Andrée MarquetMartin J Warren
Jul 7, 2009·Metallomics : Integrated Biometal Science·Lalla Aicha BaClaus Jacob
Oct 6, 2010·Proceedings of the National Academy of Sciences of the United States of America·Ritu ChakravartiDennis J Stuehr
Jan 8, 2010·Bioinformatics·Yan Zhang, Vadim N Gladyshev
Oct 24, 2012·FEBS Letters·Isolde Palombo, Daniel O Daley
May 14, 2011·The Journal of Biological Chemistry·Yan Zhang, Vadim N Gladyshev
Jul 7, 2019·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Henrique S FernandesNuno M F S A Cerqueira

Related Concepts

Molybdenum cofactor

Trending Feeds


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Synthetic Genetic Array Analysis

Synthetic genetic arrays allow the systematic examination of genetic interactions. Here is the latest research focusing on synthetic genetic arrays and their analyses.

Neural Activity: Imaging

Imaging of neural activity in vivo has developed rapidly recently with the advancement of fluorescence microscopy, including new applications using miniaturized microscopes (miniscopes). This feed follows the progress in this growing field.

Computational Methods for Protein Structures

Computational methods employing machine learning algorithms are powerful tools that can be used to predict the effect of mutations on protein structure. This is important in neurodegenerative disorders, where some mutations can cause the formation of toxic protein aggregations. This feed follows the latests insights into the relationships between mutation and protein structure leading to better understanding of disease.

Congenital Hyperinsulinism

Congenital hyperinsulinism is caused by genetic mutations resulting in excess insulin secretion from beta cells of the pancreas. Here is the latest research.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Epigenetic Memory

Epigenetic memory refers to the heritable genetic changes that are not explained by the DNA sequence. Find the latest research on epigenetic memory here.

Cell Atlas of the Human Eye

Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.

Femoral Neoplasms

Femoral Neoplasms are bone tumors that arise in the femur. Discover the latest research on femoral neoplasms here.