Evidence map›Paper›PMID 39897125›Full record

ArticleFrontiers in bioinformatics2024

Innovative CDR grafting and computational methods for PD-1 specific nanobody design.

Jagadeeswara Reddy Devasani, Girijasankar Guntuku, Nalini Panatula, Murali Krishna Kumar Muthyala, Mary Sulakshana Palla, Teruna J Siahaan

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Jagadeeswara Reddy DevasaniPharmaceutical Biotechnology Division, A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Girijasankar GuntukuPharmaceutical Biotechnology Division, A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Nalini PanatulaPharmaceutical Biotechnology Division, A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Murali Krishna Kumar MuthyalaPharmaceutical Chemistry Division, A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Mary Sulakshana PallaGITAM School of Pharmacy, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India.
Teruna J SiahaanDepartment of Pharmaceutical Chemistry, School of Pharmacy, The University of Kansas, Lawrence, KS, United States.

Funding

A Novel Method to Enhance Drug Delivery to the BrainR01AG082273 · NIA · UNIVERSITY OF KANSAS LAWRENCE · PI KRZYSZTOF KUCZERA, TERUNA J. SIAHAAN · 2024 to 2026
$1.4M
NIA NIH HHS R01 AG082273
6 · The paper itself

Abstract

Introduction: The development of nanobodies targeting Programmed Cell Death Protein-1 (PD-1) offers a promising approach in cancer immunotherapy. This study aims to design and characterize a PD-1-specific nanobody using an integrated computational and experimental approach. Methods: An Results: Computational findings demonstrated favorable binding interactions, stability, and physicochemical properties of the nanobody. Experimental results confirmed the nanobody's specific binding affinity to PD-1, with ELISA and dot blot analyses providing evidence of robust interaction. Discussion: This study highlights the potential of combining computational and experimental approaches for engineering nanobodies. The engineered PD-1 nanobody exhibits promising characteristics, making it a strong candidate for further testing in cancer immunotherapy applications.

Indexed as

cancer immunotherapycomplementarity-determining regiondot blotELISAnanobodyprogrammed cell death protein-1Western blot

Identifiers

PMID39897125
PMCPMC11782559

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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.