most citedComparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

math-ph2025

A gauge theory of complex adaptive systems

Gueorgui M. Mihaylov, Sergio L. Cacciatori

We introduce a geometric construction of a gauge field theory of a complex adaptive system. It is based on a suitable simplicial formulation of a discrete geometry that manifests r…

q-bio.QM20251 cited

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists

Mariya L. Ivanova, Nicola Russo, Gueorgui Mihaylov +1

The study expands the application of scikit-learn-based machine learning (ML) to the prediction of small biomolecule functionalities based on Carbon 13 isotope (13C) NMR spectrosco…

q-bio.QM2025

IUPAC-Induced Computational Approaches for Identifying Boosters of Small Biomolecule Functionality: A Case Study of Human Tyrosyl-DNA Phosphodiesterase 1 (TDP1) Inhibitors

Mariya L. Ivanova, Nicola Russo, Gueorgui Mihaylov +1

This paper introduces several proof-of-concept (PoC) computational methods intended to offer biochemical researchers straightforward, time- and cost-effective strategies to acceler…

q-bio.QM2025

In Silico Functional Profiling of Engineered Small Molecules: A Machine Learning Approach Leveraging PubChem Identifiers (CID_SID ML model)

Mariya L. Ivanova, Michael Nicholls, Nicola Russo +2

The article introduces a concept for a time- and cost-effective methodological framework leveraging machine learning (ML) models for both early-stage drug development and clinical…