Homology modelling by distance geometry.

By Andrés Aszódi, W. R. Taylor. 1996

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AlphaFold2 and its applications in the fields of biology and medicine (2023, background): “24 Advantages of the homology modeling include simple algorithm, fast prediction speed, and high accuracy for proteins that have structure-known homologs.”
Recovery of protein structure from contact maps. (1997, background): “The relevant issue, to which considerable effort has been recently devoted [7,8], concerns how small can be the prefactor a, in order to achieve reasonable reconstruction of protein structure from incomplete experimental contact maps.”
Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks (2014, background): “To our knowledge, only a few studies concerning inter-residue distances exist in the literature where a limited number of distance restraints have been predicted [31,32] or only an inter-residue distance distribution has been studied [33,34].”
Optimal contact definition for reconstruction of Contact Maps (2010, methodology): “This suggests an approach in the homology modelling of proteins based on distance restraints (see [33-35]): using two atoms per residue to restrain the geometry will lead to more precise models.”