Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084))

Lihle Mahamba; Mustafa Alhaji Isa; Abidemi Paul Kappo

doi:10.1016/j.amolm.2025.100096

Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084))

Lihle Mahamba, Mustafa Alhaji Isa, Abidemi Paul Kappo

Biochemistry

University of Johannesburg

Research output: Contribution to journal › Comment/debate

Abstract

The three-dimensional structure of the G4LZI3 USP from S. mansoni was predicted using the AlphaFold2 framework (Jumper et al., 2021), implemented via ColabFold (Mirdita et al., 2022). Protein sequences were input into the ColabFold web interface, which employs the MMseqs2-based MSA generation and AlphaFold2 modeling pipeline. Model relaxation was enabled, and five ranked structural models were generated by the input sequence. The top-ranked model based on pLDDT confidence scores was selected for further validation. The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	100096
Journal	Aspects of Molecular Medicine
DOIs	https://doi.org/10.1016/j.amolm.2025.100096
Publication status	Accepted/In press - 2025

ASJC Scopus subject areas

Physiology
Molecular Medicine
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Molecular Biology

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Mahamba, L., Isa, M. A., & Kappo, A. P. (Accepted/In press). Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084)). Aspects of Molecular Medicine, Article 100096. https://doi.org/10.1016/j.amolm.2025.100096

Mahamba, Lihle ; Isa, Mustafa Alhaji ; Kappo, Abidemi Paul. / Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084)). In: Aspects of Molecular Medicine. 2025.

@article{c3f6fe44559e4bdab50d568706a05738,

title = "Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084))",

abstract = "The three-dimensional structure of the G4LZI3 USP from S. mansoni was predicted using the AlphaFold2 framework (Jumper et al., 2021), implemented via ColabFold (Mirdita et al., 2022). Protein sequences were input into the ColabFold web interface, which employs the MMseqs2-based MSA generation and AlphaFold2 modeling pipeline. Model relaxation was enabled, and five ranked structural models were generated by the input sequence. The top-ranked model based on pLDDT confidence scores was selected for further validation. The authors would like to apologise for any inconvenience caused.",

author = "Lihle Mahamba and Isa, \{Mustafa Alhaji\} and Kappo, \{Abidemi Paul\}",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s)",

year = "2025",

doi = "10.1016/j.amolm.2025.100096",

language = "English",

journal = "Aspects of Molecular Medicine",

issn = "2949-6888",

publisher = "Elsevier B.V.",

}

Mahamba, L, Isa, MA & Kappo, AP 2025, 'Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084))', Aspects of Molecular Medicine. https://doi.org/10.1016/j.amolm.2025.100096

Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084)). / Mahamba, Lihle; Isa, Mustafa Alhaji; Kappo, Abidemi Paul.
In: Aspects of Molecular Medicine, 2025.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084))

AU - Mahamba, Lihle

AU - Isa, Mustafa Alhaji

AU - Kappo, Abidemi Paul

PY - 2025

Y1 - 2025

N2 - The three-dimensional structure of the G4LZI3 USP from S. mansoni was predicted using the AlphaFold2 framework (Jumper et al., 2021), implemented via ColabFold (Mirdita et al., 2022). Protein sequences were input into the ColabFold web interface, which employs the MMseqs2-based MSA generation and AlphaFold2 modeling pipeline. Model relaxation was enabled, and five ranked structural models were generated by the input sequence. The top-ranked model based on pLDDT confidence scores was selected for further validation. The authors would like to apologise for any inconvenience caused.

AB - The three-dimensional structure of the G4LZI3 USP from S. mansoni was predicted using the AlphaFold2 framework (Jumper et al., 2021), implemented via ColabFold (Mirdita et al., 2022). Protein sequences were input into the ColabFold web interface, which employs the MMseqs2-based MSA generation and AlphaFold2 modeling pipeline. Model relaxation was enabled, and five ranked structural models were generated by the input sequence. The top-ranked model based on pLDDT confidence scores was selected for further validation. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/105012885587

U2 - 10.1016/j.amolm.2025.100096

DO - 10.1016/j.amolm.2025.100096

M3 - Comment/debate

AN - SCOPUS:105012885587

SN - 2949-6888

JO - Aspects of Molecular Medicine

JF - Aspects of Molecular Medicine

M1 - 100096

ER -

Mahamba L, Isa MA, Kappo AP. Corrigendum to “In silico identification of potential inhibitors for the universal stress G4LZI3 protein from Schistosoma mansoni using molecular docking and molecular dynamics simulation analyses” [Aspects of Molecular Medicine 5 (2025) 100084] (Aspects of Molecular Medicine (2025) 5, (S294968882500022X), (10.1016/j.amolm.2025.100084)). Aspects of Molecular Medicine. 2025;100096. doi: 10.1016/j.amolm.2025.100096

Abstract

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