Peyravi F, Latif A, Moshtaghioun SM (2019) A composite approach to protein tertiary structure prediction: hidden Markov Model based on lattice. Bull Math Biol 81:899–918
CAS
Article
Google Scholar
Dorn M, e Silva MB, Buriol LS, Lamb LC (2014) Three-dimensional protein structure prediction: methods and computational strategies. Comput Biol Chem 53:251–276
Article
Google Scholar
Ramyachitra D, Veeralakshmi V (2017) Bacterial foraging optimization for protein structure prediction using FCC & HP energy model. Gene Rep 7:43–49
Article
Google Scholar
Márquez-Chamorro AE, Asencio-Cortés G, Santiesteban-Toca CE, Aguilar-Ruiz JS (2015) Soft computing methods for the prediction of protein tertiary structures: a survey. Appl Soft Comput 35:398–410
Article
Google Scholar
Kamal MS, Chowdhury L, Khan MI, Ashour AS, Tavares JMR, Dey N (2017) Hidden Markov model and Chapman Kolmogrov for protein structures prediction from images. Comput Biol Chem 68:231–244
CAS
Article
Google Scholar
Diamond JS, Zhang Y (2018) THE-DB: a threading model database for comparative protein structure analysis of the E. coli K12 and human proteomes. Database 2018.
Dill KA (1985) Theory for the folding and stability of globular proteins. Biochemistry 24:1501–1509
CAS
Article
Google Scholar
Alas SJ, González-Pérez P (2016) Simulating the folding of HP-sequences with a minimalist model in an inhomogeneous medium. BioSystems 142:52–67
Article
Google Scholar
Guo Q, Wang J, Xu Z (2018) Approximation algorithms for protein folding in the hydrophobic-polar model on 3D hexagonal prism lattice. J Comput Biol 25:487–498
CAS
Article
Google Scholar
Young DC (2009) Computational drug design: a guide for computational and medicinal chemists. Wiley, Hoboken
Book
Google Scholar
Bowie JU, Luthy R, Eisenberg D (1991) A method to identify protein sequences that fold into a known three-dimensional structure. Science 253:164–170
CAS
Article
Google Scholar
Dehury B, Behera SK, Mahapatra N (2017) Structural dynamics of Casein Kinase I (CKI) from malarial parasite Plasmodium falciparum (isolate 3D7): insights from theoretical modelling and molecular simulations. J Mol Graph Model 71:154–166
CAS
Article
Google Scholar
Hassan M, Shahzadi S, Raza H et al (2019) Computational investigation of mechanistic insights of Aβ42 interactions against extracellular domain of nAChRα7 in Alzheimer’s disease. Int J Neurosci 129:666–680
CAS
Article
Google Scholar
Colovos C, Yeates TO (1993) Verification of protein structures: patterns of nonbonded atomic interactions. Protein Sci 2:1511–1519
CAS
Article
Google Scholar
Zhao M-L, Wang W, Nie H, Cao S-S, Du L-F (2018) In silico structure prediction and inhibition mechanism studies of AtHDA14 as revealed by homology modeling, docking, molecular dynamics simulation. Comput Biol Chem 75:120–130
CAS
Article
Google Scholar
Caballero J, Morales-Bayuelo A, Navarro-Retamal C (2018) Mycobacterium tuberculosis serine/threonine protein kinases: structural information for the design of their specific ATP-competitive inhibitors. J Comput Aided Mol Des 32:1315–1336
CAS
Article
Google Scholar
Sippl MJ (1993) Recognition of errors in three-dimensional structures of proteins. Proteins Struct Funct Bioinform 17:355–362
CAS
Article
Google Scholar
Wiederstein M, Sippl MJ (2007) ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Res 35:W407–W410
Article
Google Scholar
Pontius J, Richelle J, Wodak SJ (1996) Deviations from standard atomic volumes as a quality measure for protein crystal structures. J Mol Biol 264:121–136
CAS
Article
Google Scholar
Beg M, Thakur SC, Meena LS (2018) Structural prediction and mutational analysis of Rv3906c gene of Mycobacterium tuberculosis H37Rv to determine its essentiality in survival. Adv Bioinform. https://doi.org/10.1155/2018/6152014
Article
Google Scholar
Ramli ANM, Manas NHA, Hamid AAA, Hamid HA, Illias RM (2018) Comparative structural analysis of fruit and stem bromelain from Ananas comosus. Food Chem 266:183–191
CAS
Article
Google Scholar
Vriend G (1990) WHAT IF: a molecular modeling and drug design program. J Mol Graph 8:52–56
CAS
Article
Google Scholar
Benkert P, Künzli M, Schwede T (2009) QMEAN server for protein model quality estimation. Nucleic Acids Res 37:W510–W514
CAS
Article
Google Scholar
Benkert P, Tosatto SC, Schomburg D (2008) QMEAN: a comprehensive scoring function for model quality assessment. Proteins Struct Funct Bioinform 71:261–277
CAS
Article
Google Scholar
Studer G, Biasini M, Schwede T (2014) Assessing the local structural quality of transmembrane protein models using statistical potentials (QMEANBrane). Bioinformatics 30:i505–i511
CAS
Article
Google Scholar
Ramachandran GN (1963) Stereochemistry of polypeptide chain configurations. J Mol Biol 7:95–99
CAS
Article
Google Scholar
Lovell SC, Davis IW, Arendall WB III et al (2003) Structure validation by Cα geometry: ϕ, ψ and Cβ deviation. Proteins Struct Funct Bioinform 50:437–450
CAS
Article
Google Scholar
Lakshmi B, Ramakrishnan C, Archunan G, Sowdhamini R, Srinivasan N (2014) Investigations of Ramachandran disallowed conformations in protein domain families. Int J Biol Macromol 63:119–125
CAS
Article
Google Scholar
Blondel A, Karplus M (1996) New formulation for derivatives of torsion angles and improper torsion angles in molecular mechanics: Elimination of singularities. J Compu Chem 17:1132–1141
CAS
Article
Google Scholar