Utilization of advanced machine learning models for analysis of pharmaceutical cocrystals by prediction of solubility parameters using Dragonfly algorithm optimization.
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| Title: | Utilization of advanced machine learning models for analysis of pharmaceutical cocrystals by prediction of solubility parameters using Dragonfly algorithm optimization. |
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| Authors: | Alotaibi HF; Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah Bint AbdulRahman University, 11671, Riyadh, Saudi Arabia. Hfalotaibi@pnu.edu.sa., AlRamadneh TN; Faculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan., Heera MS; Department of Computer Science and Application, Faculty of Computer Science and Application, Gokul Global University, Sidhpur, Gujarat, India., Yadav A; Department of Computer Engineering and Application, GLA University Mathura, Bharthia, 281406, India., Shakir AK; Computer Technical Engineering, College of Technical Engineering, The Islamic university, Najaf, Iraq., Ramachandran T; Department of Mechanical Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, India., Mishra S; Department of Pharmacology, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751003, India., Tailor NK; University Institute of Pharma Sciences, Chandigarh University, Mohali, Punjab, India., Singhal D; Centre for Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.; Sharda School of Bio-Science and Technology, Sharda University, Greater Noida, India. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 19. Date of Electronic Publication: 2026 Jun 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42321368 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Utilization of advanced machine learning models for analysis of pharmaceutical cocrystals by prediction of solubility parameters using Dragonfly algorithm optimization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Alotaibi+HF%22">Alotaibi HF</searchLink>; Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah Bint AbdulRahman University, 11671, Riyadh, Saudi Arabia. Hfalotaibi@pnu.edu.sa.<br /><searchLink fieldCode="AU" term="%22AlRamadneh+TN%22">AlRamadneh TN</searchLink>; Faculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.<br /><searchLink fieldCode="AU" term="%22Heera+MS%22">Heera MS</searchLink>; Department of Computer Science and Application, Faculty of Computer Science and Application, Gokul Global University, Sidhpur, Gujarat, India.<br /><searchLink fieldCode="AU" term="%22Yadav+A%22">Yadav A</searchLink>; Department of Computer Engineering and Application, GLA University Mathura, Bharthia, 281406, India.<br /><searchLink fieldCode="AU" term="%22Shakir+AK%22">Shakir AK</searchLink>; Computer Technical Engineering, College of Technical Engineering, The Islamic university, Najaf, Iraq.<br /><searchLink fieldCode="AU" term="%22Ramachandran+T%22">Ramachandran T</searchLink>; Department of Mechanical Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, India.<br /><searchLink fieldCode="AU" term="%22Mishra+S%22">Mishra S</searchLink>; Department of Pharmacology, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751003, India.<br /><searchLink fieldCode="AU" term="%22Tailor+NK%22">Tailor NK</searchLink>; University Institute of Pharma Sciences, Chandigarh University, Mohali, Punjab, India.<br /><searchLink fieldCode="AU" term="%22Singhal+D%22">Singhal D</searchLink>; Centre for Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.; Sharda School of Bio-Science and Technology, Sharda University, Greater Noida, India. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Jun 19. <i>Date of Electronic Publication: </i>2026 Jun 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42321368 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-58509-8 Languages: – Code: eng Text: English Titles: – TitleFull: Utilization of advanced machine learning models for analysis of pharmaceutical cocrystals by prediction of solubility parameters using Dragonfly algorithm optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alotaibi HF – PersonEntity: Name: NameFull: AlRamadneh TN – PersonEntity: Name: NameFull: Heera MS – PersonEntity: Name: NameFull: Yadav A – PersonEntity: Name: NameFull: Shakir AK – PersonEntity: Name: NameFull: Ramachandran T – PersonEntity: Name: NameFull: Mishra S – PersonEntity: Name: NameFull: Tailor NK – PersonEntity: Name: NameFull: Singhal D IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 06 Text: 2026 Jun 19 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2045-2322 Titles: – TitleFull: Scientific reports Type: main |
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