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Updated: Aug 11, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Constructing Potential Energy Surface with Correlated Theory for Dipeptides Using Molecular Tailoring Approach
Subodh S Khire1,2, Nandini Gattadahalli2, Nalini D Gurav2,3
1RIKEN Center for Computational Science, Kobe, 650-0047, Japan.
Abstract:
We demonstrate a cost-effective alternative employing the fragment-based molecular tailoring approach (MTA) for building the potential energy surface (PES) for two dipeptides viz. alanine-alanine and alanine-proline employing correlated theory, with augmented Dunning basis sets. About 1369 geometries are generated for each test dipeptide by systematically varying the dihedral angles and . These conformational geometries are partially optimized by relaxing all the other Z-matrix parameters, fixing the values of and . The MP2 level PES is constructed from the MTA-energies of chemically intact geometries using minimal hardware. The fidelity of MP2/aug-cc-pVDZ level PES is brought out by comparing it with its full calculation counterpart. Further, we bring out the power of the method by reporting the MTA-based CCSD/aug-cc-pVDZ level PES for these two dipeptides containing 498 and 562 basis functions respectively.

