LIVIVO - Search results -

Search results

Result 1 - 10 of total 69

Search options

Article ; Online: Making COVID-19 mRNA vaccines accessible: challenges resolved.

Niazi, Sarfaraz K

2022 Volume 21, Issue 9, Page(s) 1163–1176

Abstract: Introduction: The rapid spread of SARS-CoV2 infection allowed testing of mRNA vaccines ...

Abstract	Introduction: The rapid spread of SARS-CoV2 infection allowed testing of mRNA vaccines that translate the target antigen, unlike introducing antigens in traditional vaccines. It proved safer and more effective and, as a chemical vaccine, much easier to develop and manufacture. Areas covered: The science and technology behind the mRNA vaccines are pertinent to establishing low-cost manufacturing of reverse-engineered mRNA vaccines, as suggested by the WHO. A stepwise approach to establishing a compliant manufacturing facility, testing, supply chain, regulatory submissions, and intellectual property handling is presented. Expert opinion: mRNA technology is more straightforward, and the cost of establishing a manufacturing facility is affordable, even in developing countries. The technology and supplies are widely available; however, based on experience, several misconceptions and misunderstandings about mRNA vaccines need to be removed, such as the regulatory and intellectual property issues that are resolved in this paper.
MeSH term(s)	COVID-19/prevention & control ; COVID-19 Vaccines ; Humans ; RNA, Viral ; SARS-CoV-2/genetics ; Vaccines ; Vaccines, Synthetic ; mRNA Vaccines
Chemical Substances	COVID-19 Vaccines ; RNA, Viral ; Vaccines ; Vaccines, Synthetic ; mRNA Vaccines
Language	English
Publishing date	2022-06-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2181284-6
ISSN	1744-8395 ; 1476-0584
ISSN (online)	1744-8395
ISSN	1476-0584
DOI	10.1080/14760584.2022.2089121
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 6077: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾

Article ; Online: Combining fragment docking with graph theory to improve ligand docking for homology model structures.

Sarfaraz, Sara / Muneer, Iqra / Liu, Haiyan

Journal of computer-aided molecular design

2020 Volume 34, Issue 12, Page(s) 1237–1259

Abstract: ... recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protease. For all complexes, poses ...

Abstract	Computational protein-ligand docking is well-known to be prone to inaccuracies in input receptor structures, and it is challenging to obtain good docking results with computationally predicted receptor structures (e.g. through homology modeling). Here we introduce a fragment-based docking method and test if it reduces requirements on the accuracy of an input receptor structures relative to non-fragment docking approaches. In this method, small rigid fragments are docked first using AutoDock Vina to generate a large number of favorably docked poses spanning the receptor binding pocket. Then a graph theory maximum clique algorithm is applied to find combined sets of docked poses of different fragment types onto which the complete ligand can be properly aligned. On the basis of these alignments, possible binding poses of complete ligand are determined. This docking method is first tested for bound docking on a series of Cytochrome P450 (CYP450) enzyme-substrate complexes, in which experimentally determined receptor structures are used. For all complexes tested, ligand poses of less than 1 Å root mean square deviations (RMSD) from the actual binding positions can be recovered. Then the method is tested for unbound docking with modeled receptor structures for a number of protein-ligand complexes from different families including the very recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protease. For all complexes, poses with RMSD less than 3 Å from actual binding positions can be recovered. Our results suggest that for docking with approximately modeled receptor structures, fragment-based methods can be more effective than common complete ligand docking approaches.
MeSH term(s)	ATPases Associated with Diverse Cellular Activities/chemistry ; ATPases Associated with Diverse Cellular Activities/metabolism ; Betacoronavirus/enzymology ; COVID-19 ; Coronavirus 3C Proteases ; Coronavirus Infections/drug therapy ; Cysteine Endopeptidases/chemistry ; Cysteine Endopeptidases/drug effects ; Cysteine Endopeptidases/metabolism ; Cytochrome P-450 Enzyme System/chemistry ; Cytochrome P-450 Enzyme System/metabolism ; DNA-Binding Proteins/chemistry ; DNA-Binding Proteins/metabolism ; Humans ; Ligands ; Models, Chemical ; Models, Molecular ; Molecular Chaperones/chemistry ; Molecular Chaperones/metabolism ; Molecular Docking Simulation ; Pandemics ; Peptide Fragments/chemistry ; Peptide Fragments/metabolism ; Pneumonia, Viral/drug therapy ; Protein Binding ; Protein Conformation ; Receptors, G-Protein-Coupled/chemistry ; Receptors, G-Protein-Coupled/metabolism ; SARS-CoV-2 ; Transcription Factors/chemistry ; Transcription Factors/metabolism ; Viral Nonstructural Proteins/chemistry ; Viral Nonstructural Proteins/drug effects ; Viral Nonstructural Proteins/metabolism
Chemical Substances	BRD2 protein, human ; DNA-Binding Proteins ; Ligands ; Molecular Chaperones ; Peptide Fragments ; Receptors, G-Protein-Coupled ; Transcription Factors ; Viral Nonstructural Proteins ; Cytochrome P-450 Enzyme System (9035-51-2) ; Cysteine Endopeptidases (EC 3.4.22.-) ; Coronavirus 3C Proteases (EC 3.4.22.28) ; ATAD2 protein, human (EC 3.6.1.3) ; ATPases Associated with Diverse Cellular Activities (EC 3.6.4.-)
Keywords	covid19
Language	English
Publishing date	2020-10-09
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	808166-9
ISSN	1573-4951 ; 0920-654X
ISSN (online)	1573-4951
ISSN	0920-654X
DOI	10.1007/s10822-020-00345-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 2625: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article: Effect of Remdesivir on mortality and length of stay in hospitalized COVID-19 patients: A single center study.

Shaikh, Quratulain / Sarfaraz, Samreen / Rahim, Anum / Hussain, Mujahid / Shah, Rabeea / Soomro, Sara

Pakistan journal of medical sciences

2022 Volume 38, Issue 2, Page(s) 405–410

Abstract: Objectives: To see the difference in mortality among hospitalized COVID-19 patients given Remdesivir (RDV) with those who were not given RDV.: Methods: A prospective cohort study was conducted on patients who were admitted to the COVID-19 isolation ... ...

Abstract	Objectives: To see the difference in mortality among hospitalized COVID-19 patients given Remdesivir (RDV) with those who were not given RDV. Methods: A prospective cohort study was conducted on patients who were admitted to the COVID-19 isolation unit at The Indus Hospital, Korangi Campus Karachi between March and June 2020. Results: Groups were similar in age and gender distribution. RDV group was more hypoxic, had severe ARDS and needed higher Oxygen support compared to non-RDV group (p=0.000). Median SOFA score was 2 in RDV vs 5 in non-RDV (p=0.000). More than moderate COVID pneumonia was found in 92% of the RDV group while 89% of non-RDV group (p value=0.001). Median day of illness to administer Remdesivir was 10. There was no difference in mortality (45.5% in RDV vs 40.4% in non-RDV; p=0.4) between the two groups. Median length of hospital stay was 12 days (IQR=7.5-14.5) in RDV group compared to 10 days (IQR=6-14) in non-RDV group (p=0.009). Conclusion: RDV did not show any difference in in-hospital mortality in our patients. More patients had severe ARDS in the RDV group while patients in the non-RDV group had higher SOFA score and multi-organ failure. Length of stay was longer in patients receiving Remdesivir.
Language	English
Publishing date	2022-03-16
Publishing country	Pakistan
Document type	Journal Article
ZDB-ID	2032827-8
ISSN	1681-715X ; 1682-024X ; 1017-4699
ISSN (online)	1681-715X
ISSN	1682-024X ; 1017-4699
DOI	10.12669/pjms.38.ICON-2022.5779
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 3948: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Repurposing FIASMAs against Acid Sphingomyelinase for COVID-19: A Computational Molecular Docking and Dynamic Simulation Approach.

Naz, Aliza / Asif, Sumbul / Alwutayd, Khairiah Mubarak / Sarfaraz, Sara / Abbasi, Sumra Wajid / Abbasi, Asim / Alenazi, Abdulkareem M / Hasan, Mohamed E

Molecules (Basel, Switzerland)

2023 Volume 28, Issue 7

Abstract: ... Experimental studies revealed that SARS-CoV-2 causes activation of the acid sphingomyelinase/ceramide pathway ... activity in order to prevent the cells from SARS-CoV-2 infection. Previous studies have reported functional ... inhibitors against ASM (FIASMAs). These inhibitors can be exploited to block the entry of SARS-CoV-2 ...

Abstract	Over the past few years, COVID-19 has caused widespread suffering worldwide. There is great research potential in this domain and it is also necessary. The main objective of this study was to identify potential inhibitors against acid sphingomyelinase (ASM) in order to prevent coronavirus infection. Experimental studies revealed that SARS-CoV-2 causes activation of the acid sphingomyelinase/ceramide pathway, which in turn facilitates the viral entry into the cells. The objective was to inhibit acid sphingomyelinase activity in order to prevent the cells from SARS-CoV-2 infection. Previous studies have reported functional inhibitors against ASM (FIASMAs). These inhibitors can be exploited to block the entry of SARS-CoV-2 into the cells. To achieve our objective, a drug library containing 257 functional inhibitors of ASM was constructed. Computational molecular docking was applied to dock the library against the target protein (PDB: 5I81). The potential binding site of the target protein was identified through structural alignment with the known binding pocket of a protein with a similar function. AutoDock Vina was used to carry out the docking steps. The docking results were analyzed and the inhibitors were screened based on their binding affinity scores and ADME properties. Among the 257 functional inhibitors, Dutasteride, Cepharanthine, and Zafirlukast presented the lowest binding affinity scores of -9.7, -9.6, and -9.5 kcal/mol, respectively. Furthermore, computational ADME analysis of these results revealed Cepharanthine and Zafirlukast to have non-toxic properties. To further validate these findings, the top two inhibitors in complex with the target protein were subjected to molecular dynamic simulations at 100 ns. The molecular interactions and stability of these compounds revealed that these inhibitors could be a promising tool for inhibiting SARS-CoV-2 infection.
MeSH term(s)	Humans ; COVID-19 ; SARS-CoV-2 ; Molecular Docking Simulation ; Drug Repositioning ; Sphingomyelin Phosphodiesterase ; Protease Inhibitors/chemistry ; Molecular Dynamics Simulation ; Antiviral Agents/pharmacology
Chemical Substances	zafirlukast (XZ629S5L50) ; Sphingomyelin Phosphodiesterase (EC 3.1.4.12) ; Protease Inhibitors ; Antiviral Agents
Language	English
Publishing date	2023-03-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules28072989
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.MO 81: Show issues

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Application of Data Mining Algorithm to Investigate the Effect of Intelligent Transportation Systems on Road Accidents Reduction by Decision Tree

Mohammad Mehdi Khabiri / Fatemeh Matin Ghahfarokhi / Sara Sarfaraz / Hasan Mohammadi Anaie

Communications, Vol 24, Iss 2, Pp F36-F

2022 Volume 45

Abstract: Due to the large amount of available data in this study, authors have utilized data mining algorithms, especially the decision tree, to process these data and obtain the information, which would result in increasing road safety, determining the causes ... ...

Abstract	Due to the large amount of available data in this study, authors have utilized data mining algorithms, especially the decision tree, to process these data and obtain the information, which would result in increasing road safety, determining the causes affecting it and patterns leading to traffic accidents. The effective use of this tool and its role in controlling the number of driving accidents is the subject of this study with the help of data mining algorithms. The results show that the increase in the number of roadside assistances to more than 41; number of driving accidents (fatally injured) is not significantly different, hence one of the proposed strategies for intelligent relay stations and its organization with the intelligent transportation tool is available. The intelligent transportation system utilities comprise of monitoring, guidance and enforcement tools, plus service tools such as rescue, driver assistant and road improvement.
Keywords	data mining algorithm ; intelligent transportation systems (its) ; driving accidents ; road safety ; decision tree ; Transportation and communications ; HE1-9990 ; Science ; Q ; Transportation engineering ; TA1001-1280
Subject code	380
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	University of Žilina
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Repurposing FIASMAs against Acid Sphingomyelinase for COVID-19

Aliza Naz / Sumbul Asif / Khairiah Mubarak Alwutayd / Sara Sarfaraz / Sumra Wajid Abbasi / Asim Abbasi / Abdulkareem M. Alenazi / Mohamed E. Hasan

Molecules, Vol 28, Iss 2989, p

A Computational Molecular Docking and Dynamic Simulation Approach

2023 Volume 2989

Abstract	Over the past few years, COVID-19 has caused widespread suffering worldwide. There is great research potential in this domain and it is also necessary. The main objective of this study was to identify potential inhibitors against acid sphingomyelinase (ASM) in order to prevent coronavirus infection. Experimental studies revealed that SARS-CoV-2 causes activation of the acid sphingomyelinase/ceramide pathway, which in turn facilitates the viral entry into the cells. The objective was to inhibit acid sphingomyelinase activity in order to prevent the cells from SARS-CoV-2 infection. Previous studies have reported functional inhibitors against ASM (FIASMAs). These inhibitors can be exploited to block the entry of SARS-CoV-2 into the cells. To achieve our objective, a drug library containing 257 functional inhibitors of ASM was constructed. Computational molecular docking was applied to dock the library against the target protein (PDB: 5I81). The potential binding site of the target protein was identified through structural alignment with the known binding pocket of a protein with a similar function. AutoDock Vina was used to carry out the docking steps. The docking results were analyzed and the inhibitors were screened based on their binding affinity scores and ADME properties. Among the 257 functional inhibitors, Dutasteride, Cepharanthine, and Zafirlukast presented the lowest binding affinity scores of −9.7, −9.6, and −9.5 kcal/mol, respectively. Furthermore, computational ADME analysis of these results revealed Cepharanthine and Zafirlukast to have non-toxic properties. To further validate these findings, the top two inhibitors in complex with the target protein were subjected to molecular dynamic simulations at 100 ns. The molecular interactions and stability of these compounds revealed that these inhibitors could be a promising tool for inhibiting SARS-CoV-2 infection.
Keywords	SARS-CoV-2 ; acid sphingomyelinase (ASM) ; functional inhibitors ; molecular docking ; molecular dynamics ; COVID-19 ; Organic chemistry ; QD241-441
Subject code	540 ; 500
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Recent Advances in Machine-Learning-Based Chemoinformatics: A Comprehensive Review.

Niazi, Sarfaraz K / Mariam, Zamara

International journal of molecular sciences

2023 Volume 24, Issue 14

Abstract: ... with the structure-activity relationships (SARs), are pivotal in unlocking the pathway to small-molecule drug discovery. Technical ...

Abstract	In modern drug discovery, the combination of chemoinformatics and quantitative structure-activity relationship (QSAR) modeling has emerged as a formidable alliance, enabling researchers to harness the vast potential of machine learning (ML) techniques for predictive molecular design and analysis. This review delves into the fundamental aspects of chemoinformatics, elucidating the intricate nature of chemical data and the crucial role of molecular descriptors in unveiling the underlying molecular properties. Molecular descriptors, including 2D fingerprints and topological indices, in conjunction with the structure-activity relationships (SARs), are pivotal in unlocking the pathway to small-molecule drug discovery. Technical intricacies of developing robust ML-QSAR models, including feature selection, model validation, and performance evaluation, are discussed herewith. Various ML algorithms, such as regression analysis and support vector machines, are showcased in the text for their ability to predict and comprehend the relationships between molecular structures and biological activities. This review serves as a comprehensive guide for researchers, providing an understanding of the synergy between chemoinformatics, QSAR, and ML. Due to embracing these cutting-edge technologies, predictive molecular analysis holds promise for expediting the discovery of novel therapeutic agents in the pharmaceutical sciences.
MeSH term(s)	Cheminformatics ; Drug Discovery/methods ; Machine Learning ; Algorithms ; Molecular Structure ; Quantitative Structure-Activity Relationship
Language	English
Publishing date	2023-07-15
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2019364-6
ISSN	1422-0067 ; 1422-0067 ; 1661-6596
ISSN (online)	1422-0067
ISSN	1422-0067 ; 1661-6596
DOI	10.3390/ijms241411488
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Combining fragment docking with graph theory to improve ligand docking for homology model structures

Sarfaraz, Sara / Muneer, Iqra / Liu, Haiyan

J Comput Aided Mol Des

Abstract: ... recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protease. For all complexes, poses ...

Abstract	Computational protein-ligand docking is well-known to be prone to inaccuracies in input receptor structures, and it is challenging to obtain good docking results with computationally predicted receptor structures (e.g. through homology modeling). Here we introduce a fragment-based docking method and test if it reduces requirements on the accuracy of an input receptor structures relative to non-fragment docking approaches. In this method, small rigid fragments are docked first using AutoDock Vina to generate a large number of favorably docked poses spanning the receptor binding pocket. Then a graph theory maximum clique algorithm is applied to find combined sets of docked poses of different fragment types onto which the complete ligand can be properly aligned. On the basis of these alignments, possible binding poses of complete ligand are determined. This docking method is first tested for bound docking on a series of Cytochrome P450 (CYP450) enzyme-substrate complexes, in which experimentally determined receptor structures are used. For all complexes tested, ligand poses of less than 1 Å root mean square deviations (RMSD) from the actual binding positions can be recovered. Then the method is tested for unbound docking with modeled receptor structures for a number of protein-ligand complexes from different families including the very recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protease. For all complexes, poses with RMSD less than 3 Å from actual binding positions can be recovered. Our results suggest that for docking with approximately modeled receptor structures, fragment-based methods can be more effective than common complete ligand docking approaches.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #841071
Database	COVID19

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article ; Online: Perylene diimide/MXene-modified graphitic pencil electrode-based electrochemical sensor for dopamine detection.

Amara, Umay / Mehran, Muhammad Taqi / Sarfaraz, Bilal / Mahmood, Khalid / Hayat, Akhtar / Nasir, Muhammad / Riaz, Sara / Nawaz, Mian Hasnain

Mikrochimica acta

2021 Volume 188, Issue 7, Page(s) 230

Abstract: The synthesis of novel architecture comprising perylene diimide (PDI)-MXene ( ... ...

Abstract	The synthesis of novel architecture comprising perylene diimide (PDI)-MXene (Ti
MeSH term(s)	Dopamine/chemistry ; Electrochemical Techniques/methods ; Electrodes/standards ; Graphite ; Humans ; Imides/chemistry ; Perylene/analogs & derivatives ; Perylene/chemistry
Chemical Substances	Imides ; perylenediimide ; Perylene (5QD5427UN7) ; Graphite (7782-42-5) ; Dopamine (VTD58H1Z2X)
Language	English
Publishing date	2021-06-12
Publishing country	Austria
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	89-9
ISSN	1436-5073 ; 0026-3672
ISSN (online)	1436-5073
ISSN	0026-3672
DOI	10.1007/s00604-021-04884-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Bonn / Germany

Z 56/171: Show issues
Z 8.1: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article: Anxiolytic and memory enhancing potential of aloe vera and flax seed oil in rats: A comparative study with valproic acid.

Sarfaraz, Yousra / Emad, Shaista / Qadeer, Sara / Sheikh, Sheeza / Yousuf, Sarwat / Sadaf, Sana / Haider, Saida / Perveen, Tahira

Pakistan journal of pharmaceutical sciences

2021 Volume 33, Issue 6(Supplementary), Page(s) 2831–2836

Abstract: For centuries, herbs and herbal oils are used for pharmacological purpose. Aloe vera is well-known as silent healer and flax seed oil is known to contain rich amount of omega-3 fatty acids, both are having effects on central nervous system. Valproic acid ...

Abstract	For centuries, herbs and herbal oils are used for pharmacological purpose. Aloe vera is well-known as silent healer and flax seed oil is known to contain rich amount of omega-3 fatty acids, both are having effects on central nervous system. Valproic acid is anticonvulsant drug with some side effects and has shown effects on behaviors. This study was designed to monitor the effects of valproic acid, aloe vera and flax seed oil on cognitive and anxiolytic behaviors in rats. Animals were categorized into four groups: Control, valproic acid, aloe vera and flax seed oil which were respectively treated with water, valproic acid (300mg/kg), aloe vera (0.4ml/kg) and flax seed oil (1.8ml/kg). The treatment was continued 2 weeks for drug and 3 weeks for aloe vera and flax seed oil. Anxiolytic effect as well as increased GABA levels were observed following drug and oil treatments. Improvement in cognitive function with decrease in acetylcholine esterase activity in aloe vera and flax seed oil while impairment in learning memory with increase acetylcholine esterase activity was observed in rats treated with valproic acid. Results showed substantial decrease in acetylcholinesterase level in aloe vera and flax seed oil supporting the cognitive impact of oils in contrary to drug.
MeSH term(s)	Aloe ; Animals ; Anti-Anxiety Agents/pharmacology ; Linseed Oil/pharmacology ; Memory/drug effects ; Rats ; Rats, Wistar ; Valproic Acid/pharmacology ; gamma-Aminobutyric Acid/analysis
Chemical Substances	Anti-Anxiety Agents ; gamma-Aminobutyric Acid (56-12-2) ; Valproic Acid (614OI1Z5WI) ; Linseed Oil (8001-26-1)
Language	English
Publishing date	2021-04-21
Publishing country	Pakistan
Document type	Comparative Study ; Journal Article
ZDB-ID	885131-1
ISSN	1011-601X
ISSN	1011-601X
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 6588: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

To top

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito