PredictProtein—an open resource for online prediction of protein structural and functional features

G Yachdav, E Kloppmann, L Kajan… - Nucleic acids …, 2014 - academic.oup.com
PredictProtein is a meta-service for sequence analysis that has been predicting structural
and functional features of proteins since 1992. Queried with a protein sequence it returns …

[PDF][PDF] Collaboro: a collaborative (meta) modeling tool

JLC Izquierdo, J Cabot - PeerJ Computer Science, 2016 - peerj.com
Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Bioinformatics Approaches to Explore the Phylogeny and Role of BRCA1 in Breast Cancer

F Jabbir, M Irfan, G Mustafa… - Critical Reviews™ in …, 2019 - dl.begellhouse.com
ABSTRACT BRCA1 and BRCA2 are the two major vulnerability genes involved in hereditary
breast cancer. BRCA1 gene programs for a tumor suppressor protein that helps in repairing …

AUTO‐MUTE 2.0: A portable framework with enhanced capabilities for predicting protein functional consequences upon mutation

M Masso, II Vaisman - Advances in bioinformatics, 2014 - Wiley Online Library
The AUTO‐MUTE 2.0 stand‐alone software package includes a collection of programs for
predicting functional changes to proteins upon single residue substitutions, developed by …

Machine learning can differentiate venom toxins from other proteins having non-toxic physiological functions

R Gacesa, DJ Barlow, PF Long - PeerJ Computer Science, 2016 - peerj.com
Ascribing function to sequence in the absence of biological data is an ongoing challenge in
bioinformatics. Differentiating the toxins of venomous animals from homologues having …

Современные тенденции исследований в нутрициологии и гигиене питания

ВМ Жминченко, ММГ Гаппаров - Вопросы питания, 2015 - cyberleninka.ru
Прогресс в методах инструментального анализа и новые знания в биологии и
медицине позволили нутрициологии и гигиене питания: 1) перейти от исследований …

ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank

P Agrawal, S Patiyal, R Kumar, V Kumar, H Singh… - Database, 2019 - academic.oup.com
Abstract ccPDB 2.0 (http://webs. iiitd. edu. in/raghava/ccpdb) is an updated version of the
manually curated database ccPDB that maintains datasets required for developing methods …

Cloud prediction of protein structure and function with PredictProtein for Debian

L Kaján, G Yachdav, E Vicedo… - BioMed Research …, 2013 - Wiley Online Library
We report the release of PredictProtein for the Debian operating system and derivatives,
such as Ubuntu, Bio‐Linux, and Cloud BioLinux. The PredictProtein suite is available as a …

The prediction of protein-protein interacting sites in genome-wide protein interaction networks: the test case of the human cell cycle

L Bartoli, PL Martelli, I Rossi, P Fariselli… - Current Protein and …, 2010 - ingentaconnect.com
In this paper we aim at investigating possible correlations between the number of putative
interaction patches of a given protein, as inferred by an algorithm that we have developed …

An inter-subunit protein-peptide interface that stabilizes the specific activity and oligomerization of the AAA+ chaperone Reptin

D Coufalova, L Remnant, L Hernychova, P Muller… - Journal of …, 2019 - Elsevier
Reptin is a member of the AAA+ superfamily whose members can exist in equilibrium
between monomeric apo forms and ligand bound hexamers. Inter-subunit protein-protein …