Results 11 to 20 of about 3,139,545 (345)

COMTOP: Protein Residue–Residue Contact Prediction through Mixed Integer Linear Optimization

open access: yesMembranes, 2021
Protein contact prediction helps reconstruct the tertiary structure that greatly determines a protein’s function; therefore, contact prediction from the sequence is an important problem. Recently there has been exciting progress on this problem, but many
Md. Selim Reza   +5 more
doaj   +1 more source

Prediction of protein-protein interaction sites in intrinsically disordered proteins

open access: yesFrontiers in Molecular Biosciences, 2022
Intrinsically disordered proteins (IDPs) participate in many biological processes by interacting with other proteins, including the regulation of transcription, translation, and the cell cycle.
Ranran Chen   +10 more
doaj   +1 more source

Purification and Characterization of a Novel Alginate Lyase from a Marine Streptomyces Species Isolated from Seaweed

open access: yesMarine Drugs, 2021
Alginate, a natural polysaccharide derived from brown seaweed, is finding multiple applications in biomedicine via its transformation through chemical, physical, and, increasingly, enzymatic processes.
Thi Nhu Thuong Nguyen   +4 more
doaj   +1 more source

Discovering the Ultimate Limits of Protein Secondary Structure Prediction

open access: yesBiomolecules, 2021
Secondary structure prediction (SSP) of proteins is an important structural biology technique with many applications. There have been ~300 algorithms published in the past seven decades with fierce competition in accuracy.
Chia-Tzu Ho   +4 more
doaj   +1 more source

Entropic Landscape: the method to predict folding patterns and regional stability of proteins [PDF]

open access: yes, 2009
I propose a new method to calculate the entropy of a given protein sequence fragment. The set of fragment entropies over all possible fragments of the given sequence shows which region of the sequence is statistically stable and which region has a strong
Kentaro Onizuka
core   +2 more sources

DeepLBCEPred: A Bi-LSTM and multi-scale CNN-based deep learning method for predicting linear B-cell epitopes

open access: yesFrontiers in Microbiology, 2023
The epitope is the site where antigens and antibodies interact and is vital to understanding the immune system. Experimental identification of linear B-cell epitopes (BCEs) is expensive, is labor-consuming, and has a low throughput.
Yue Qi, Peijie Zheng, Guohua Huang
doaj   +1 more source

An Alternative Model of Amino Acid Replacement [PDF]

open access: yes, 2004
The observed correlations between pairs of homologous protein sequences are typically explained in terms of a Markovian dynamic of amino acid substitution.
Altschul   +27 more
core   +3 more sources

ProtTrans-Glutar: Incorporating Features From Pre-trained Transformer-Based Models for Predicting Glutarylation Sites

open access: yesFrontiers in Genetics, 2022
Lysine glutarylation is a post-translational modification (PTM) that plays a regulatory role in various physiological and biological processes. Identifying glutarylated peptides using proteomic techniques is expensive and time-consuming.
Fatma Indriani   +4 more
doaj   +1 more source

Exploiting Sparse Statistics for a Sequence-Based Prediction of the Effect of Mutations

open access: yesAlgorithms, 2019
Recent work showed that there is a significant difference between the statistics of amino acid triplets and quadruplets in sequences of folded proteins and randomly generated sequences.
Mihaly Mezei
doaj   +1 more source

Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model

open access: yesFrontiers in Genetics, 2020
Accurately identifying the missense mutations is of great help to alleviate the loss of protein function and structural changes, which might greatly reduce the risk of disease for tumor suppressor genes (e.g., BRCA1 and PTEN). In this paper, we propose a
Kuan Li   +4 more
doaj   +1 more source

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