Jeremy Lohman

Dr. Jeremy Lohman

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 December 2013 in ACS Chemical Biology
Verified
Journal Article
Closed access
JCJessica L. Childs-Disney
Jessica L. Childs-Disney
IYIlyas Yildirim
Ilyas Yildirim
HPHaJeung Park
HaJeung Park
JLJeremy Lohman
Jeremy Lohman
LGLirui Guan
Lirui Guan
MDMatthew D. Disney
Matthew D. Disney

1 October 2002 in Journal of Molecular Biology
Verified
Journal Article
Closed access
DWDonna B Wright
Donna B Wright
DBDouglas D Banks
Douglas D Banks
JLJeremy Lohman
Jeremy Lohman
JHJacqueline L Hilsenbeck
Jacqueline L Hilsenbeck
LGLisa M Gloss
Lisa M Gloss

19 September 2014 in Journal of Natural Products
Verified
Journal Article
Open access
HIHindra
Hindra
THTingting Huang
Tingting Huang
DYDong Yang
Dong Yang
JRJeffrey D. Rudolf
Jeffrey D. Rudolf
PXPengfei Xie
Pengfei Xie
BSBen Shen
Ben Shen
Natural products offer unmatched chemical and structural diversity compared to other small-molecule libraries, but traditional natural product discovery programs are not sustainable, demanding too much time, effort, and resources. Here we report a strain prioritization method for natural product discovery. Central to the method is the application of real-time PCR, targeting genes characteristic to the biosynthetic machinery of natural products with distinct scaffolds in a high-throughput format. The practicality and effectiveness of the method were showcased by prioritizing 1911 actinomycete strains for diterpenoid discovery. A total of 488 potential diterpenoid producers were identified, among which six were confirmed as platensimycin and platencin dual producers and one as a viguiepinol and oxaloterpin producer. While the method as described is most appropriate to prioritize strains for discovering specific natural products, variations of this method should be applicable to the discovery of other classes of natural products. Applications of genome sequencing and genome mining to the high-priority strains could essentially eliminate the chance elements from traditional discovery programs and fundamentally change how natural products are discovered.

29 September 2015 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
JLJeremy Lohman
Jeremy Lohman
MMMing Ma
Ming Ma
JOJerzy Osipiuk
Jerzy Osipiuk
BNBoguslaw Nocek
Boguslaw Nocek
YKYoungchang Kim
Youngchang Kim
BSBen Shen
Ben Shen
Significance: There are many differences in the sequences of ketosynthase (KS) domains from the well-studied type I polyketide synthases (PKSs) and the more recently discovered acyltransferase (AT)-less type I PKSs. The AT-less type I PKSs generate polyketides with a high degree of structural diversity, which stems from their evolution by horizontal gene transfer. In comparison, canonical type I PKSs evolve by gene duplication. The seven structures of AT-less type I PKS KSs reveal the molecular details surrounding the evolution of substrate specificity and structural diversity, and their overall differences with canonical type I PKS KSs. Understanding the mechanism of substrate specificity will allow reprogramming of the KS active sites to generate polyketide analogues by PKS and polyketide biosynthetic pathway engineering.

1 January 2015 in Bioorganic & Medicinal Chemistry Letters
Verified
Journal Article
Open access
BSBen Shen
Ben Shen
HIHindra
Hindra
XYXiaohui Yan
Xiaohui Yan
THTingting Huang
Tingting Huang
HGHuiming Ge
Huiming Ge
JLJeremy Lohman
Jeremy Lohman
The enediyne natural products have been explored for their phenomenal cytotoxicity. The development of enediynes into anticancer drugs has been successfully achieved through the utilization of polymer- and antibody-drug conjugates (ADCs) as drug delivery systems. An increasing inventory of enediynes would benefit current application of ADCs in many oncology programs. Innovations in expanding the enediyne inventory should take advantage of the current knowledge of enediyne biosynthesis and post-genomics technologies. Bioinformatics analysis of microbial genomes reveals that enediynes are underexplored, in particular from Actinomycetales. This digest highlights the emerging opportunities to explore microbial genomics for the discovery of novel enediyne natural products.