Results 41 to 50 of about 180,875 (351)

Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13

open access: yesbioRxiv, 2019
Prediction of residue-residue distance relationships (e.g. contacts) has become the key direction to advance protein tertiary structure prediction since 2014 CASP11 experiment, while deep learning has revolutionized the technology for contact and ...
Jianlin Cheng
semanticscholar   +1 more source

Structure of a rare non-standard sequence k-turn bound by L7Ae protein [PDF]

open access: yes, 2014
Kt-23 from Thelohania solenopsae is a rare RNA kink turn (k-turn) where an adenine replaces the normal guanine at the 2n position. L7Ae is a member of a strongly conserved family of proteins that bind a range of k-turn structures in the ribosome, box C/D
Huang, Lin, Lilley, David M J; id_orcid
core   +1 more source

CASP11--An Evaluation of a Modular BCL::Fold-Based Protein Structure Prediction Pipeline. [PDF]

open access: yesPLoS ONE, 2016
In silico prediction of a protein's tertiary structure remains an unsolved problem. The community-wide Critical Assessment of Protein Structure Prediction (CASP) experiment provides a double-blind study to evaluate improvements in protein structure ...
Axel W Fischer   +7 more
doaj   +1 more source

Oxidation of tertiary amine-derivatized surfaces to control protein adhesion [PDF]

open access: yes, 2013
Selective oxidation of omega-tertiary amine self-assembled thiol monolayers to tertiary amine N-oxides is shown to transform the adhesion of model proteins lysozyme and fibrinogen upon them.
Evans, Stephen D.   +12 more
core   +1 more source

Comparative analysis of low-frequency vibrational spectra of native and denatured proteins [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Физика
Background and Objectives: Changes in the secondary and tertiary structures of protein molecules during thermal denaturation lead to changes in their vibrational spectra.
Mankova, Anna A.   +2 more
doaj   +1 more source

Modeling of tertiary and quaternary protein structures by homology [PDF]

open access: yes, 2012
The structure of a protein is crucial to understand its function. Despite this importance, experimentally solved structures are only available for a small portion of the currently known protein sequences.
Kiefer, Florian
core   +1 more source

Interaction Of Calcium Phosphate Nanoparticles With Human Chorionic Gonadotropin Modifies Secondary And Tertiary Protein Structure

open access: yesNova Biotechnologica et Chimica, 2015
Calcium phosphate nanoparticles (CaPNP) have good biocompatibility and bioactivity inside human body. In this study, the interaction between CaPNP and human chorionic gonadotropin (hCG) was analyzed to determine the changes in the protein structure in ...
Al-Hakeim Hussein K   +3 more
doaj   +1 more source

IntFOLD: an integrated web resource for high performance protein structure and function prediction

open access: yesNucleic Acids Res., 2019
The IntFOLD server provides a unified resource for the automated prediction of: protein tertiary structures with built-in estimates of model accuracy (EMA), protein structural domain boundaries, natively unstructured or disordered regions in proteins ...
L. McGuffin   +6 more
semanticscholar   +1 more source

FLORA: a novel method to predict protein function from structure in diverse superfamilies [PDF]

open access: yes, 2009
Predicting protein function from structure remains an active area of interest, particularly for the structural genomics initiatives where a substantial number of structures are initially solved with little or no functional characterisation.
Dallman Timothy J.   +24 more
core   +1 more source

DESTINI: A deep-learning approach to contact-driven protein structure prediction

open access: yesScientific Reports, 2019
The amino acid sequence of a protein encodes the blueprint of its native structure. To predict the corresponding structural fold from the protein’s sequence is one of most challenging problems in computational biology. In this work, we introduce DESTINI (
Mu Gao, Hongyi Zhou, J. Skolnick
semanticscholar   +1 more source

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