Example of Drug Metabolism Letters format
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Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format
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Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format Example of Drug Metabolism Letters format
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open access Open Access

Drug Metabolism Letters — Template for authors

Publisher: Bentham Science
Categories Rank Trend in last 3 yrs
Pharmaceutical Science #83 of 166 up up by 13 ranks
Pharmacology (medical) #133 of 246 up up by 28 ranks
Biochemistry (medical) #34 of 54 up up by 5 ranks
Clinical Biochemistry #86 of 113 up up by 9 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 45 Published Papers | 116 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/06/2020
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Related Journals

open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 11.4
SJR: 2.182
SNIP: 1.902
open access Open Access

Springer

Quality:  
High
CiteRatio: 5.0
SJR: 0.649
SNIP: 1.155
open access Open Access

Springer

Quality:  
High
CiteRatio: 7.7
SJR: 1.633
SNIP: 1.452
open access Open Access

Springer

Quality:  
High
CiteRatio: 2.7
SJR: 0.538
SNIP: 0.974

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

2.6

24% from 2019

CiteRatio for Drug Metabolism Letters from 2016 - 2020
Year Value
2020 2.6
2019 2.1
2018 1.6
2017 1.3
2016 1.4
graph view Graph view
table view Table view

0.302

30% from 2019

SJR for Drug Metabolism Letters from 2016 - 2020
Year Value
2020 0.302
2019 0.233
2018 0.312
2017 0.314
2016 0.383
graph view Graph view
table view Table view

0.546

12% from 2019

SNIP for Drug Metabolism Letters from 2016 - 2020
Year Value
2020 0.546
2019 0.488
2018 0.287
2017 0.28
2016 0.471
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 24% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 30% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 12% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Drug Metabolism Letters

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Bentham Science

Drug Metabolism Letters

Drug Metabolism Letters publishes letters, original research articles, commentaries, technical notes and drug clinical trial studies on major advances in all areas of drug metabolism and disposition. The emphasis is on publishing quality papers very rapidly by taking full adva...... Read More

Pharmaceutical Science

Pharmacology (medical)

Biochemistry, medical

Clinical Biochemistry

Pharmacology, Toxicology and Pharmaceutics

i
Last updated on
02 Jun 2020
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ISSN
1872-3128
i
Impact Factor
Low - 0.352
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
Vancouver
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Citation Type
Numbered
[25]
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Bibliography Example
Blonder, G E, Tinkham, M, & Klapwijk, T M. Transition from metallic to tunnel- ing regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B. 2013;87(10):100510.

Top papers written in this journal

Journal Article DOI: 10.2174/187231209788654081
Esterase Activities in the Blood, Liver and Intestine of Several Preclinical Species and Humans
Loren Berry1, Lance Wollenberg, Zhiyang Zhao
31 Mar 2009 - Drug Metabolism Letters

Abstract:

Species and tissue differences in the activity of three major classes of esterases, carboxylesterase (CE), butyrylcholinesterase (BChE) and paraoxonase (PON), were studied. Substantial species differences in activity of these esterases were observed between the mouse, rat, dog monkey and human. Such species differences must b... Species and tissue differences in the activity of three major classes of esterases, carboxylesterase (CE), butyrylcholinesterase (BChE) and paraoxonase (PON), were studied. Substantial species differences in activity of these esterases were observed between the mouse, rat, dog monkey and human. Such species differences must be considered when using these preclinical species to optimize the pharmacokinetic properties of ester compounds intended for human use. read more read less

Topics:

Carboxylesterase (54%)54% related to the paper, Butyrylcholinesterase (52%)52% related to the paper
103 Citations
Journal Article DOI: 10.2174/187231208783478407
An examination of IC50 and IC50-shift experiments in assessing time-dependent inhibition of CYP3A4, CYP2D6 and CYP2C9 in human liver microsomes.
Loren Berry1, Zhiyang Zhao
01 Jan 2008 - Drug Metabolism Letters

Abstract:

The relationship between time-dependent inactivation (TDI) and IC50 is examined using a consolidated method for evaluating CYP450 inhibition during drug discovery. An IC50 fold-shift of >1.5 indicated significant TDI potency. Further, the "shifted IC50" could be used to estimate, the K(I) and TDI potency ratio k(inact)/K(I) t... The relationship between time-dependent inactivation (TDI) and IC50 is examined using a consolidated method for evaluating CYP450 inhibition during drug discovery. An IC50 fold-shift of >1.5 indicated significant TDI potency. Further, the "shifted IC50" could be used to estimate, the K(I) and TDI potency ratio k(inact)/K(I) to within 2-fold in most cases. read more read less

Topics:

Potency (51%)51% related to the paper
87 Citations
open accessOpen access Journal Article DOI: 10.2174/1872312810666160223121836
Efficiency in Drug Discovery: Liver S9 Fraction Assay As a Screen for Metabolic Stability
Samantha J. Richardson, April Bai, Ashutosh A. Kulkarni, Mehran F. Moghaddam1
31 May 2016 - Drug Metabolism Letters

Abstract:

Background A rapid and comprehensive metabolic stability screen at the top of a drug discovery flow chart serves as an effective gate in eliminating low value compounds. This imparts a significant level of efficiency and saves valuable resources. While microsomes are amenable to high throughput automation and are cost effecti... Background A rapid and comprehensive metabolic stability screen at the top of a drug discovery flow chart serves as an effective gate in eliminating low value compounds. This imparts a significant level of efficiency and saves valuable resources. While microsomes are amenable to high throughput automation and are cost effective, their enzymatic make-up is limited to that which is contained in endoplasmic reticulum, thereby informing only on Phase I metabolism. Lack of Phase II metabolism data can become a potential liability later in the process, adversely affecting discovery projects' timelines and budget. Hepatocytes offer a full complement of metabolic enzymes and retain their cellular compartments, better representing liver metabolic function. However, hepatocyte screens are relatively expensive, labor intensive, and not easily automatable. Liver S9 fractions include Phase I and II metabolic enzymes, are relatively inexpensive, easy to use, and amenable to automation, making them a more appropriate screening system. We compare the data from the three systems and present the results. Results Liver S9 and hepatocyte stability assays binned into the same category 70-84% of the time. Microsome and hepatocyte data were in agreement 73-82% of the time. The true rate for stability versus plasma clearance was 45% for hepatocytes and 43% for S9. Conclusion In our opinion, replacing liver microsome and hepatocyte assays with S9 assay for high throughput metabolic screening purposes provides the combined benefit of comprehensive and high quality data at a reasonable expense for drug discovery programs. read more read less

Topics:

High-Throughput Screening Assays (50%)50% related to the paper
View PDF
86 Citations
Journal Article DOI: 10.2174/187231208783478425
Renal and Hepatic Transporter Expression in Type 2 Diabetic Rats
01 Jan 2008 - Drug Metabolism Letters

Abstract:

Membrane transporters are critical for the uptake as well as elimination of chemicals and by-products of metabolism from the liver and kidneys. Since these proteins are important determinants of chemical disposition, changes in their expression in different disease states can modulate drug pharmacokinetics. The present study ... Membrane transporters are critical for the uptake as well as elimination of chemicals and by-products of metabolism from the liver and kidneys. Since these proteins are important determinants of chemical disposition, changes in their expression in different disease states can modulate drug pharmacokinetics. The present study investigated alterations in the renal and hepatic expression of organic anion and cation transporters (Oats/Octs), multidrug resistance-associated proteins (Mrps), breast cancer resistance protein (Bcrp), P-glycoprotein (Pgp), and hepatic Na+-taurocholate cotransporting polypeptide (Ntcp) in type 2 diabetic rats. For this purpose, type 2 diabetes was induced by feeding male Sprague- Dawley rats a high fat diet followed by a single dose of streptozotocin (45 mg/kg, i.p., in 0.01 M citrate buffer pH 4.3) on day 14. Controls received normal diet and vehicle. Kidney and liver samples were collected on day 24 for generation of crude plasma membrane fractions and Western blot analysis of Oat, Oct, Mrp, Bcrp, Pgp, and Ntcp proteins. With regards to renal uptake transporters, type 2 diabetes increased levels of Oat2 (2.3-fold) and decreased levels of Oct2 to 50% of control kidneys. Conversely, efflux transporters Mrp2, Mrp4, and Bcrp were increased 5.4-fold, 2-fold, and 1.6-fold, respectively in type 2 diabetic kidneys with no change in levels of Mrp1, Mrp5, or Pgp. Studies of hepatic transporters in type 2 diabetic rats reveal that the protein level of Mrp5 was reduced to 4% of control livers with no change in levels of Bcrp, Mrp1, Mrp2, Mrp4, Ntcp, or Pgp. The changes reported in this study may have implications in type 2 diabetic patients. read more read less

Topics:

Multidrug resistance-associated protein 2 (54%)54% related to the paper, Normal diet (54%)54% related to the paper, Kidney (53%)53% related to the paper, Streptozotocin (50%)50% related to the paper
84 Citations
Journal Article DOI: 10.2174/187231208783478434
Investigations Into the Drug-Drug Interaction Potential of Tapentadol in Human Liver Microsomes and Fresh Human Hepatocytes
Christa Kneip1, Rolf Terlinden, Horst Beier, Genfu Chen
01 Jan 2008 - Drug Metabolism Letters

Abstract:

The new analgesic tapentadol was evaluated for induction and inhibition of several cytochrome P450 enzymes in vitro, and protein binding was assessed. It was concluded that no clinically relevant drug-drug interactions are likely to occur through either mechanism. The new analgesic tapentadol was evaluated for induction and inhibition of several cytochrome P450 enzymes in vitro, and protein binding was assessed. It was concluded that no clinically relevant drug-drug interactions are likely to occur through either mechanism. read more read less

Topics:

Tapentadol (54%)54% related to the paper
83 Citations
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2. Do you follow the Drug Metabolism Letters guidelines?

Yes, the template is compliant with the Drug Metabolism Letters guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Drug Metabolism Letters?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Drug Metabolism Letters citation style.

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After writing your paper autoformatting in Drug Metabolism Letters, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Drug Metabolism Letters's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Drug Metabolism Letters?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Drug Metabolism Letters. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Drug Metabolism Letters?

The 5 most common citation types in order of usage for Drug Metabolism Letters are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Drug Metabolism Letters Endnote style according to Elsevier guidelines.

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