Correction: Senceroglu et al. Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media. Pharmaceuticals 2022, 15, 1405

Authors

Tahereh Rezaei (ORCID: https://orcid.org/0000-0001-9983-6390)
Fardad Faress (ORCID: https://orcid.org/0000-0003-4698-9881)
Zanko Hassan Jawhar (ORCID: https://orcid.org/0000-0002-2896-3621)
Sait Senceroglu
Mohamed Arselene Ayari (ORCID: https://orcid.org/0000-0002-8663-886X)
Amith Khandakar
Muhammad E. H. Chowdhury

Institutions

Shiraz University of Medical Sciences (IR)
The University of Texas Rio Grande Valley (US)
Ege University (TR)
Lebanese French University (IQ)
Qatar University (QA)

Publication Details

Journal: Pharmaceuticals
Published: 2026-01-15
DOI: https://doi.org/10.3390/ph19010152
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: Senceroglu et al. Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media. Pharmaceuticals 2022, 15, 1405

Tahereh Rezaei, Fardad Faress, Zanko Hassan Jawhar, Sait Senceroglu et al.

Jan 15, 2026

Pharmaceuticals

Computational Drug Discovery Methods

article

Correction: Senceroglu et al. Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media. Pharmaceuticals 2022, 15, 1405

Tahereh Rezaei, Fardad Faress, Zanko Hassan Jawhar, Sait Senceroglu, Mohamed Arselene Ayari, Amith Khandakar, Muhammad E. H. Chowdhury

January 15, 2026article en

Abstract

No abstract available for this paper.

PharmaceuticalsVol. 19(1)

Shiraz University of Medical Sciences (IR), The University of Texas Rio Grande Valley (US), Ege University (TR), Lebanese French University (IQ), Qatar University (QA)

Openalex Percentile: Top 86%

Computational Drug Discovery Methods

DOI Open Access PDF OpenAlex

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