[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 …

Practically Useful: What the Rosetta Protein Modeling Suite Can Do for You

KW Kaufmann, GH Lemmon, SL DeLuca… - Biochemistry, 2010 - ACS Publications
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 …

Protein 3D structure computed from evolutionary sequence variation

DS Marks, LJ Colwell, R Sheridan, TA Hopf, A Pagnani… - PloS one, 2011 - journals.plos.org
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 …

Explainable deep hypergraph learning modeling the peptide secondary structure prediction

Y Jiang, R Wang, J Feng, J **, S Liang, Z Li… - Advanced …, 2023 - Wiley Online Library
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 …

TM-align: a protein structure alignment algorithm based on the TM-score

Y Zhang, J Skolnick - Nucleic acids research, 2005 - academic.oup.com
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 …

Protein structure prediction and analysis using the Robetta server

DE Kim, D Chivian, D Baker - Nucleic acids research, 2004 - academic.oup.com
Abstract The Robetta server (http://robetta. bakerlab. org) provides automated tools for
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 …

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 …

SPIDER2: a package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks

Y Yang, R Heffernan, K Paliwal, J Lyons… - Prediction of protein …, 2017 - Springer
Predicting one-dimensional structure properties has played an important role to improve
prediction of protein three-dimensional structures and functions. The most commonly …

Porter: a new, accurate server for protein secondary structure prediction

G Pollastri, A McLysaght - Bioinformatics, 2005 - academic.oup.com
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 …