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Enregistrement W4404762500 · doi:10.2174/138920372601241122105141

Preface

2024· article· en· W4404762500 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueCurrent Protein and Peptide Science · 2024
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueCinema and Media Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

It is a profound honor and privilege to step into the role of Editor-in-Chief of Current Protein & Peptide Science (CPPS), following in the footsteps of the distinguished Professor Ben Dunn. His exceptional leadership has transformed CPPS into a premier platform for cutting-edge research and a critical space for scientific exchange in the ever-evolving fields of protein and peptide science. Professor Dunn’s visionary dedication has set an exemplary standard of excellence that I am committed to upholding and advancing. Protein and peptide science is at the forefront of transformative research, revolutionizing our understanding of biological systems and driving advances in medicine, biotechnology, and materials science. The extraordinary versatility of peptides and proteins-as essential biological building blocks and precision therapeutic agents-has positioned them at the heart of some of today’s most groundbreaking scientific developments. Innovations in peptide and protein chemistry, structure-function analysis, synthesis, and bioengineering have paved the way for the creation of highly specific drugs, advanced vaccine platforms, and state-of-the-art biomaterials, all with transformative implications for global healthcare. We are witnessing an era of remarkable scientific progress driven by interdisciplinary approaches and rapid technological advancement. Breakthroughs in bioinformatics, structural biology, and synthetic methodologies, such as the chemical ligation pioneered by Prof. Steve Kent, are allowing us to decode complex biological mechanisms at unprecedented speeds. Precision approaches, such as peptide-based drug design and protein engineering, are providing new avenues for treating diseases that have long resisted effective solutions. For example, the emergence of peptide-based therapeutics like Ozempic and Wegovy exemplifies the potential of these advances. Moreover, the exploration of protein-protein interactions-once deemed untargetable-is opening new horizons in drug discovery, leading to innovative treatments for chronic diseases, cancer, infectious diseases, and neurodegenerative disorders. However, in emerging fields like cosmetics, which are evolving toward cosmeceuticals, peptides are also gaining recognition as key molecules that introduce a much-needed scientific approach. As the new Editor-in-Chief, I am dedicated to ensuring Current Protein & Peptide Science remains at the forefront of this vibrant and rapidly evolving field. Our mission is to feature pioneering research that bridges foundational science with realworld applications while fostering a global, inclusive scientific community. I am particularly enthusiastic about highlighting interdisciplinary work that combines chemistry, biology, and computational science to unlock new possibilities for innovation and impact. Reflecting on my personal scientific journey, I have always believed that motivation is a key driver of success, both personally and professionally. My career in peptide science began in the 1990s, guided by the mentorship of the late Professor Luis Moroder, who passed away in July 2024. His profound influence shaped my expertise in peptide chemistry and biology and laid the foundation for a fulfilling career that has taken me through projects across Germany, France, Poland, Italy, and many more countries. My initial research in chemical immunology began at the University of Sherbrooke in Québec, where the motto “Je me souviens” - I remember where I come from—became a guiding principle that continues to inspire me. I remain deeply passionate about advancing our field and inspiring the next generation of scientists with whom I interact day by day. This commitment is demonstrated by my efforts to organize significant scientific gatherings, such as the 37th European and 14th International Peptide Symposium held in Florence in August 2024. This event united over a thousand delegates from around the globe and highlighted the dynamic participation of young and emerging researchers. We were privileged to host esteemed figures such as the 2022 Nobel Laureate in Chemistry, Professor Morten Meldal; Rudinger Award recipients Professors Fernando Albericio and David Andreu; Zervas Award recipient Professor Ashraf Brik; and Bodanszky Award recipient César de la Fuente. Their contributions are not only ground breaking but also continue to inspire the future of peptide science. I extend my deepest gratitude to Professor Ben Dunn for his unparalleled contributions to Current Protein & Peptide Science and our scientific community. I am also profoundly appreciative of our dedicated editorial team, authors, and reviewers, whose tireless efforts and expertise have made Current Protein & Peptide Science a beacon of scientific excellence. As we look to the future, I am eager to work together with this extraordinary community to share the research that will shape the next frontiers in protein and peptide science.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,940
Score d'incertitude au seuil0,507

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,276
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle