activity
19982026
most citedPrediction of peptide bonding affinity: kernel methods for nonlinear modeling

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2026

Neuronal electricality founded in murburn-thermodynamic principles: 2. Comparisons, evidenced explanations, and predictions

Kelath Murali Manoj, Nagamani Sukumar, Taufia Hussain +2

The analyses presented herein demonstrate that neuronal electrical activity can be consistently interpreted as a manifestation of murburn redox-mediated electronic dynamics rather…

q-bio.NC2026

Neuronal electricality founded in murburn-thermodynamic principles: 1. Background and basic theoretical formulation

Kelath Murali Manoj, Nagamani Sukumar, Taufia Hussain +2

Trans-membrane ion-gradients and fluxes are central to conventional electrical activity in aerobic cells/organelles. The Murburn concept offers novel physico-chemical models for va…

physics.atm-clus2019

Smallest Fullerene-like Structures of Boron with Cr, Mo, and W Encapsulation

Amol B. Rahane, Pinaki Saha, N. Sukumar +1

Using density functional theory calculations, we study doping of a Cr, Mo, and W atom in boron clusters in the size range of 18-24 atoms and report the finding of metal atom encaps…

stat.ML2011★ 5 cited

Prediction of peptide bonding affinity: kernel methods for nonlinear modeling

Charles Bergeron, Theresa Hepburn, C. Matthew Sundling +5

This paper presents regression models obtained from a process of blind prediction of peptide binding affinity from provided descriptors for several distinct datasets as part of the…

comp-gas1998

Effect of Boundary Conditions on Cellular Automata that Classify Density

N. Sukumar

The properties of two-state nearest-neighbour cellular automata (CA) that are capable of density classification are discussed. It is shown that these CA actually conserve the total…