Evidence map›Paper›PMID 24688643›Full record

ReviewComputational and structural biotechnology journal2012

Computational approaches for rational design of proteins with novel functionalities.

Manish Kumar Tiwari, Ranjitha Singh, Raushan Kumar Singh, In-Won Kim, Jung-Kul Lee

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Review
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  11. Review
  12. Recent Advancements in Non-Invasive Formulations for Protein Drug Delivery.Computational and structural biotechnology journal · 2019
    Review
  13. Review
  14. IUCrJ · 2017
    Article
  15. Article
  16. 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

5 authors.

Manish Kumar TiwariDepartment of Chemical Engineering, Konkuk University, 1 Hwayang-Dong, Gwangjin-Gu, Seoul 143-701, Korea ; These authors contributed equally.
Ranjitha SinghDepartment of Chemical Engineering, Konkuk University, 1 Hwayang-Dong, Gwangjin-Gu, Seoul 143-701, Korea ; These authors contributed equally.
Raushan Kumar SinghDepartment of Chemical Engineering, Konkuk University, 1 Hwayang-Dong, Gwangjin-Gu, Seoul 143-701, Korea.
In-Won KimDepartment of Chemical Engineering, Konkuk University, 1 Hwayang-Dong, Gwangjin-Gu, Seoul 143-701, Korea.
Jung-Kul LeeDepartment of Chemical Engineering, Konkuk University, 1 Hwayang-Dong, Gwangjin-Gu, Seoul 143-701, Korea ; Institute of SK-KU Biomaterials, Konkuk University, 1 Hwayang-Dong, Gwangjin-Gu, Seoul 143-701, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins are the most multifaceted macromolecules in living systems and have various important functions, including structural, catalytic, sensory, and regulatory functions. Rational design of enzymes is a great challenge to our understanding of protein structure and physical chemistry and has numerous potential applications. Protein design algorithms have been applied to design or engineer proteins that fold, fold faster, catalyze, catalyze faster, signal, and adopt preferred conformational states. The field of de novo protein design, although only a few decades old, is beginning to produce exciting results. Developments in this field are already having a significant impact on biotechnology and chemical biology. The application of powerful computational methods for functional protein designing has recently succeeded at engineering target activities. Here, we review recently reported de novo functional proteins that were developed using various protein design approaches, including rational design, computational optimization, and selection from combinatorial libraries, highlighting recent advances and successes.

Indexed as

computational protein designDe novo protein designdesigned therapeutic proteinsDEZYMERK* algorithmmetalloproteinsORBITROSETTA

Identifiers

PMID24688643
PMCPMC3962203

What OpenQuestion holds

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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.