Computational Approaches for Breast Cancer Treatment - Couverture souple

Name: Computational Approaches for Breast Cancer Treatment
Author: Badaoui, Hassan; Aziz Ajana, Mohammed; Bouachrine, Mohammed
ISBN: 9786630258332

Badaoui, Hassan ; Aziz Ajana, Mohammed ; Bouachrine, Mohammed

9786630258332: Computational Approaches for Breast Cancer Treatment

Couverture souple

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

Editeur : LAP Lambert Academic Publishing, 2026

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2026
Langue: anglais
ISBN 10: 6630258339
ISBN 13: 9786630258332
Reliure: Broch�
Nombre de pages: 128
Coordonn�es du fabricant: non disponible
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Computational Approaches for Breast Cancer Treatment

Badaoui, Hassan

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786630258332

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Computational Approaches for Breast Cancer Treatment

Badaoui, Hassan

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

Neuf PAP

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786630258332

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Computational Approaches for Breast Cancer Treatment (Paperback)

Hassan Badaoui

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

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Paperback. Etat : new. Paperback. The Epidermal Growth Factor Receptor (EGFR) is one of the most important therapeutic targets in the development of anticancer treatments. Its abnormal expression and excessive activation are associated with the progression of numerous types of cancer, including lung, breast, colorectal, pancreatic, and head and neck cancers. Despite significant advances in the development of targeted therapies, drug resistance and adverse effects remain major challenges. In this context, computational approaches provide powerful tools to accelerate the discovery and optimization of novel EGFR inhibitors. Our research team has therefore employed various computational techniques, including molecular modeling, molecular docking, ADMET prediction, and molecular dynamics simulations, to identify promising compounds that may contribute to the development of more effective and selective anticancer therapies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9786630258332

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Computational Approaches for Breast Cancer Treatment

Badaoui, Hassan; Aziz Ajana, Mohammed; Bouachrine, Mohammed

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

Neuf Couverture souple

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Computational Approaches for Breast Cancer Treatment

Mohammed Aziz Ajana

Edit� par LAP LAMBERT Academic Publishing Aug 2026, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 128 pp. Englisch. N� de r�f. du vendeur 9786630258332

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Computational Approaches for Breast Cancer Treatment : Targeting EGFR from Drug Design to Molecular Dynamics

Mohammed Aziz Ajana

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Epidermal Growth Factor Receptor (EGFR) is one of the most important therapeutic targets in the development of anticancer treatments. Its abnormal expression and excessive activation are associated with the progression of numerous types of cancer, including lung, breast, colorectal, pancreatic, and head and neck cancers. Despite significant advances in the development of targeted therapies, drug resistance and adverse effects remain major challenges. In this context, computational approaches provide powerful tools to accelerate the discovery and optimization of novel EGFR inhibitors. Our research team has therefore employed various computational techniques, including molecular modeling, molecular docking, ADMET prediction, and molecular dynamics simulations, to identify promising compounds that may contribute to the development of more effective and selective anticancer therapies. N� de r�f. du vendeur 9786630258332

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Computational Approaches for Breast Cancer Treatment (Paperback)

Hassan Badaoui

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

Neuf Paperback

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Vendeur : AussieBookSeller, Truganina, VIC, Australie

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Paperback. Etat : new. Paperback. The Epidermal Growth Factor Receptor (EGFR) is one of the most important therapeutic targets in the development of anticancer treatments. Its abnormal expression and excessive activation are associated with the progression of numerous types of cancer, including lung, breast, colorectal, pancreatic, and head and neck cancers. Despite significant advances in the development of targeted therapies, drug resistance and adverse effects remain major challenges. In this context, computational approaches provide powerful tools to accelerate the discovery and optimization of novel EGFR inhibitors. Our research team has therefore employed various computational techniques, including molecular modeling, molecular docking, ADMET prediction, and molecular dynamics simulations, to identify promising compounds that may contribute to the development of more effective and selective anticancer therapies. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9786630258332

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Computational Approaches for Breast Cancer Treatment (Paperback)

Hassan Badaoui

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6630258339 ISBN 13 : 9786630258332

Neuf Paperback

impression � la demande

Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Paperback. Etat : new. Paperback. The Epidermal Growth Factor Receptor (EGFR) is one of the most important therapeutic targets in the development of anticancer treatments. Its abnormal expression and excessive activation are associated with the progression of numerous types of cancer, including lung, breast, colorectal, pancreatic, and head and neck cancers. Despite significant advances in the development of targeted therapies, drug resistance and adverse effects remain major challenges. In this context, computational approaches provide powerful tools to accelerate the discovery and optimization of novel EGFR inhibitors. Our research team has therefore employed various computational techniques, including molecular modeling, molecular docking, ADMET prediction, and molecular dynamics simulations, to identify promising compounds that may contribute to the development of more effective and selective anticancer therapies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786630258332

Contacter le vendeur