Sequence-Order Frequency Matrix–Sampling and Machine Learning with Smith–Waterman (SOFM–SMSW) for Protein Remote Homology Detection
N Sajithra, D Ramyachitra, P Manikandan - Wireless Personal …, 2024 - Springer
Protein remote homology detection (PRHD) is crucial for identifying proteins with similar
functions and structures despite low sequence identity. Traditional methods, such as the …
functions and structures despite low sequence identity. Traditional methods, such as the …
BetaProbe: A probability based method for predicting beta sheet topology using integer programming
M Eghdami, T Dehghani… - 2015 5th International …, 2015 - ieeexplore.ieee.org
Accurate prediction of β-sheet topology is one of the most important open problems of
modern computational biology. B-sheet topology prediction is an intermediate step toward …
modern computational biology. B-sheet topology prediction is an intermediate step toward …
PPalign: optimal alignment of Potts models representing proteins with direct coupling information
H Talibart, F Coste - BMC bioinformatics, 2021 - Springer
Background To assign structural and functional annotations to the ever increasing amount of
sequenced proteins, the main approach relies on sequence-based homology search …
sequenced proteins, the main approach relies on sequence-based homology search …
BetaDL: A protein beta-sheet predictor utilizing a deep learning model and independent set solution
The sequence-based prediction of beta-residue contacts and beta-sheet structures contain
key information for protein structure prediction. However, the determination of beta-sheet …
key information for protein structure prediction. However, the determination of beta-sheet …
ComPotts: Optimal alignment of coevolutionary models for protein sequences
H Talibart, F Coste - bioRxiv, 2020 - biorxiv.org
To assign structural and functional annotations to the ever increasing amount of sequenced
proteins, the main approach relies on sequence-based homology search methods, eg …
proteins, the main approach relies on sequence-based homology search methods, eg …
[PDF][PDF] Sequence-Order Frequency Matrix-Sampling and Machine learning with Smith-Waterman (SOFM-SMSW) for Protein Remote Homology Detection
S Nakshathram, R Duraisamy, M Pandurangan - 2021 - scholar.archive.org
ABSTRACT Background: Protein Remote Homology Detection (PRHD) is used to find the
homologous proteins which are similar in function and structure but sharing low sequence …
homologous proteins which are similar in function and structure but sharing low sequence …
PALM: Probabilistic Area Loss Minimization for Protein Sequence Alignment
Protein sequence alignment is a fundamental problem in computational structure biology
and popular for protein 3D structural prediction and protein homology detection. Most of the …
and popular for protein 3D structural prediction and protein homology detection. Most of the …
Protein's number of beta-sheets prediction using structural features
A protein is a long one-dimensional amino acid sequence. Some subsequences of this
sequence are given names and β-strand in one such subsequence. β-strands are very …
sequence are given names and β-strand in one such subsequence. β-strands are very …
[PDF][PDF] Reducing Dimensionality in Remote Homology Detection
S Dinesh, R Bindhu, T Anitha, R Gunasundhari - academia.edu
Homology detection plays a major role in bioinformatics. Different type of methods is used
for Homology detection. Here we extract the information from protein sequences and then …
for Homology detection. Here we extract the information from protein sequences and then …
[PDF][PDF] Integer Programming
M EghdamiÔ, T Dehghani, M Naghibzadeh - Journal of Computer and … - academia.edu
sheet topology prediction is a major unresolved problem in modern computational biology. It
is a challenging intermediate step toward the protein tertiary structure prediction. Different …
is a challenging intermediate step toward the protein tertiary structure prediction. Different …