[HTML][HTML] Computational methods in drug discovery
SP Leelananda, S Lindert - Beilstein journal of organic …, 2016 - beilstein-journals.org
The process for drug discovery and development is challenging, time consuming and
expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut …
expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut …
Practically Useful: What the Rosetta Protein Modeling Suite Can Do for You
The objective of this review is to enable researchers to use the software package Rosetta for
biochemical and biomedicinal studies. We provide a brief review of the six most frequent …
biochemical and biomedicinal studies. We provide a brief review of the six most frequent …
Protein 3D structure computed from evolutionary sequence variation
The evolutionary trajectory of a protein through sequence space is constrained by its
function. Collections of sequence homologs record the outcomes of millions of evolutionary …
function. Collections of sequence homologs record the outcomes of millions of evolutionary …
Explainable deep hypergraph learning modeling the peptide secondary structure prediction
Accurately predicting peptide secondary structures remains a challenging task due to the
lack of discriminative information in short peptides. In this study, PHAT is proposed, a deep …
lack of discriminative information in short peptides. In this study, PHAT is proposed, a deep …
TM-align: a protein structure alignment algorithm based on the TM-score
We have developed TM-align, a new algorithm to identify the best structural alignment
between protein pairs that combines the TM-score rotation matrix and Dynamic …
between protein pairs that combines the TM-score rotation matrix and Dynamic …
Protein structure prediction and analysis using the Robetta server
Abstract The Robetta server (http://robetta. bakerlab. org) provides automated tools for
protein structure prediction and analysis. For structure prediction, sequences submitted to …
protein structure prediction and analysis. For structure prediction, sequences submitted to …
PEP-FOLD: an online resource for de novo peptide structure prediction
J Maupetit, P Derreumaux, P Tuffery - Nucleic acids research, 2009 - academic.oup.com
Rational peptide design and large-scale prediction of peptide structure from sequence
remain a challenge for chemical biologists. We present PEP-FOLD, an online service, aimed …
remain a challenge for chemical biologists. We present PEP-FOLD, an online service, aimed …
Principal component analysis for protein folding dynamics
GG Maisuradze, A Liwo, HA Scheraga - Journal of molecular biology, 2009 - Elsevier
Protein folding is considered here by studying the dynamics of the folding of the triple β-
strand WW domain from the Formin-binding protein 28. Starting from the unfolded state and …
strand WW domain from the Formin-binding protein 28. Starting from the unfolded state and …
SPIDER2: a package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks
Predicting one-dimensional structure properties has played an important role to improve
prediction of protein three-dimensional structures and functions. The most commonly …
prediction of protein three-dimensional structures and functions. The most commonly …
Porter: a new, accurate server for protein secondary structure prediction
Porter is a new system for protein secondary structure prediction in three classes. Porter
relies on bidirectional recurrent neural networks with shortcut connections, accurate coding …
relies on bidirectional recurrent neural networks with shortcut connections, accurate coding …