Evidence map›Paper›PMID 25582307›Full record

ReviewAdvanced drug delivery reviews2015

Advances in computationally modeling human oral bioavailability.

Junmei Wang, Tingjun Hou

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. In Silico and In Vitro Anti-Molecules (Basel, Switzerland) · 2019
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Junmei WangGreen Center for Systems Biology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. Dallas, TX 75390, USA. Electronic address: junmei.wang@utsouthwestern.edu.
Tingjun HouCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Funding

AMBER force field consortium: a coherent biomolecular simulation platformR01GM079383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CIEPLAK, PIOTR, DUAN, YONG · 2007 to 2017
$4.7M
Protein Design Using Physical Scoring Functions integrated with Site CouplingsR21GM097617 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, JUNMEI · 2011 to 2012
$397k
NIGMS NIH HHS R01 GM079383NIGMS NIH HHS R01GM79383NIGMS NIH HHS R21 GM097617NIGMS NIH HHS R21GM097617
6 · The paper itself

Abstract

Although significant progress has been made in experimental high throughput screening (HTS) of ADME (absorption, distribution, metabolism, excretion) and pharmacokinetic properties, the ADME and Toxicity (ADME-Tox) in silico modeling is still indispensable in drug discovery as it can guide us to wisely select drug candidates prior to expensive ADME screenings and clinical trials. Compared to other ADME-Tox properties, human oral bioavailability (HOBA) is particularly important but extremely difficult to predict. In this paper, the advances in human oral bioavailability modeling will be reviewed. Moreover, our deep insight on how to construct more accurate and reliable HOBA QSAR and classification models will also discussed.

Indexed as

Models, BiologicalPharmacokineticsAdministration, OralAnimalsBiological AvailabilityComputer SimulationHumansADME–ToxHuman intestinal absorption (HIA)Human oral bioavailability (HOBA)In silico modeling computer-aided drug designQSAR

Identifiers

PMID25582307
PMCPMC4490973

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.