1.

Record Nr.

UNINA9910706528703321

Titolo

Compliance with migratory bird memorandum of understanding : Forest procedures for NEPA documentation Craggy vegetation management project (Craggy project)

Pubbl/distr/stampa

[Yreka, Calif.] : , : United States Department of Agriculture, Forest Service, , 2017

Descrizione fisica

1 online resource (4 pages)

Soggetti

Vegetation management - Klamath National Forest (Calif. and Or.)

Wildfires - Klamath National Forest (Calif. and Or.) - Prevention

Migratory birds - Klamath National Forest (Calif. and Or.)

Migratory birds

Vegetation management

Wildfires - Prevention and control

Online resources.

United States Klamath National Forest

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"February 1, 2017."

"(FS Agreement # 08-MU-1113-2400-264)."

Nota di bibliografia

Includes bibliographical references (page 4).



2.

Record Nr.

UNINA9910147191003321

Titolo

Convention on future multilateral cooperation in the Northwest Atlantic fisheries / / Northwest Atlantic Fisheries Organization (NAFO)

Pubbl/distr/stampa

Dartmouth, N.S., : Northwest Atlantic Fisheries Organization, [2004]-

Descrizione fisica

1 online resource

Classificazione

cci1icc

Disciplina

354.5

Soggetti

Fishery law and legislation - North Atlantic Ocean

Fishery law and legislation

Periodicals.

North Atlantic Ocean

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico



3.

Record Nr.

UNINA9910220047703321

Autore

Miguel A. Andrade-Navarro

Titolo

Protein Interaction Networks in Health and Disease

Pubbl/distr/stampa

Frontiers Media SA, 2016

Descrizione fisica

1 online resource (89 p.)

Collana

Frontiers Research Topics

Soggetti

Genetics (non-medical)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

The identification and mapping of protein-protein interactions (PPIs) is a major goal in systems biology. Experimental data are currently produced in large scale using a variety of high-throughput assays in yeast or mammalian systems. Analysis of these data using computational tools leads to the construction of large protein interaction networks, which help researchers identify novel protein functions. However, our current view of protein interaction networks is still limited and there is an active field of research trying to further develop this concept to include important processes: the topology of interactions and their changes in real time, the effects of competition for binding to the same protein region, PPI variation due to alternative splicing or post-translational modifications, etc. In particular, a clinically relevant topic for development of the concept of protein interactions networks is the consideration of mutant isoforms, which may be responsible for a pathological condition. Mutations in proteins may result in loss of normal interactions and appearance of novel abnormal interactions that may affect a protein's function and biological cycle. This Research Topic presents novel findings and recent achievements in the field of protein interaction networks with a focus on disease. Authors describe methods for the identification and quantification of PPIs, the annotation and analysis of networks, considering PPIs and protein complexes formed by mutant proteins associated with pathological conditions or genetic diseases.