Dual-function de novo peptides : Bacterial identification and infection treatment

Authors

Didier Boturyn (ORCID: https://orcid.org/0000-0003-2530-0299)
Lison Bastien
Sandrine Boisset (ORCID: https://orcid.org/0000-0001-8717-8749)
Yoann Roupioz (ORCID: https://orcid.org/0000-0002-1790-8141)

Institutions

Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
Centre Hospitalier Universitaire de Grenoble (FR)
CEA Grenoble (FR)
Département de Chimie Moléculaire (FR)
Institut de Biologie Structurale (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-05-26
Primary Topic: Antimicrobial Peptides and Activities
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Dual-function de novo peptides : Bacterial identification and infection treatment

Didier Boturyn, Lison Bastien, Sandrine Boisset, Yoann Roupioz

May 26, 2025

SPIRE - Sciences Po Institutional REpository

Antimicrobial Peptides and Activities

article

Dual-function de novo peptides : Bacterial identification and infection treatment

Didier Boturyn, Lison Bastien, Sandrine Boisset, Yoann Roupioz

May 26, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Centre Hospitalier Universitaire de Grenoble (FR), CEA Grenoble (FR), Département de Chimie Moléculaire (FR), Institut de Biologie Structurale (FR)

Openalex Percentile: Top 65%

Antimicrobial Peptides and Activities

OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.