Evidence map›Paper›PMID 40924371›Full record

ReviewApplied biochemistry and biotechnology2025

Exploration of Comprehensive Structural and Functional Potential of Recombinant Proteins Using Cutting-Edge Bioinformatics Tools.

Mohsin Shad, Ayesha Liaqat, Arshia Nazir, Naveed Hussain, Khadija Yaqoob, Muhammad Waheed Akhtar, Muhammad Sajjad

Abstract readReview
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In one paragraph

Review in Applied biochemistry and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors.

Mohsin ShadSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Ayesha LiaqatSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Arshia NazirSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Naveed HussainSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Khadija YaqoobSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Muhammad Waheed AkhtarSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Muhammad SajjadSchool of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan. sajjad.sbs@pu.edu.pk.ORCID http://orcid.org/0000-0002-6739-5436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers. Several bioinformatics tools and resources are available for predicting a protein's structural and functional relationship. Insights into the proteins' structure and function are important for drug discovery, development, and enhancing the suitability of the recombinant enzymes/proteins for industrial applications. This review compares and discusses various computational tools that provide structural and functional insights into recombinant proteins, including genome mining, sequence alignment, topological arrangement, physicochemical properties, including solubility and stability, site-directed mutagenesis, protein design and engineering, ligand binding interactions through molecular docking, and molecular dynamics simulation. This comparative study explores the utilisation of different computational tools, software, and web servers with their principles, algorithms, and outcomes. This document would be a milestone for the scientists to select suitable computational approaches to plan and improve the outcome for achieving the desired targets.

Indexed as

Computational BiologyRecombinant ProteinsMolecular Docking SimulationMolecular Dynamics SimulationSoftwareRecombinant ProteinsComputational toolsIn silico analysisMolecular dockingMolecular dynamics simulation

Identifiers

What OpenQuestion holds

Textmetadata
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.