Evidence map›Paper›PMID 35496315›Full record

ArticleFrontiers in pharmacology2022

Navigating Between Right, Wrong, and Relevant: The Use of Mathematical Modeling in Preclinical Decision Making.

Anna Kondic, Dean Bottino, John Harrold, Jeffrey D Kearns, C J Musante, Aleksandrs Odinecs, Saroja Ramanujan, Jangir Selimkhanov, Birgit Schoeberl

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Stronger together: a cross-SIG perspective on improving drug development.Journal of pharmacokinetics and pharmacodynamics · 2025
    Article
  2. Review
  3. Article
  4. Delivering on the promise of protein degraders.Nature reviews. Drug discovery · 2023
    Review
  5. Article
  6. Article
  7. Review
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

9 authors.

Anna KondicNektar Therapeutics, San Francisco, CA, United States.
Dean BottinoTakeda Development Center Americas, Inc. (TDCA), Lexington, MA, United States.
John HarroldSeagen Inc., South San Francisco, CA, United States.
Jeffrey D KearnsNovartis Institutes for BioMedical Research Inc., Cambridge, MA, United States.
C J MusantePfizer Worldwide Research Development and Medical, Cambridge, MA, United States.
Aleksandrs OdinecsNektar Therapeutics, San Francisco, CA, United States.
Saroja RamanujanGenentech Inc., South San Francisco, CA, United States.
Jangir SelimkhanovPfizer Worldwide Research Development and Medical, Cambridge, MA, United States.
Birgit SchoeberlNovartis Institutes for BioMedical Research Inc., Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this mini-review is to summarize the collective experience of the authors for how modeling and simulation approaches have been used to inform various decision points from discovery to First-In-Human clinical trials. The article is divided into a high-level overview of the types of problems that are being aided by modeling and simulation approaches, followed by detailed case studies around drug design (Nektar Therapeutics, Genentech), feasibility analysis (Novartis Pharmaceuticals), improvement of preclinical drug design (Pfizer), and preclinical to clinical extrapolation (Merck, Takeda, and Amgen).

Indexed as

model-informed decision makingmodeling case studiespredictive modelingresearch and preclinical developmenttranslational modeling

Identifiers

PMID35496315
PMCPMC9042116

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.