Graph theory-based sequence descriptors as remote homology predictors
Alignment-free (AF) methodologies have increased in popularity in the last decades as
alternative tools to alignment-based (AB) algorithms for performing comparative sequence …
alternative tools to alignment-based (AB) algorithms for performing comparative sequence …
PTML Model for Proteome Mining of B-Cell Epitopes and Theoretical–Experimental Study of Bm86 Protein Sequences from Colima, Mexico
SG Martinez-Arzate, E Tenorio-Borroto… - Journal of proteome …, 2017 - ACS Publications
In this work, we developed a general perturbation theory and machine learning method for
data mining of proteomes to discover new B-cell epitopes useful for vaccine design. The …
data mining of proteomes to discover new B-cell epitopes useful for vaccine design. The …
PTML model of enzyme subclasses for mining the proteome of biofuel producing microorganisms
R Concu, MN DS Cordeiro, CR Munteanu… - Journal of proteome …, 2019 - ACS Publications
Predicting enzyme function and enzyme subclasses is always a key objective in fields such
as biotechnology, biochemistry, medicinal chemistry, physiology, and so on. The Protein …
as biotechnology, biochemistry, medicinal chemistry, physiology, and so on. The Protein …
State of the art review and report of new tool for drug discovery
Y Martinez-Lopez, Y Caballero… - Current topics in …, 2017 - ingentaconnect.com
Background: There are a great number of tools that can be used in QSAR/QSPR studies;
they are implemented in several programs that are reviewed in this report. The usefulness of …
they are implemented in several programs that are reviewed in this report. The usefulness of …
Experimental–computational study of carbon nanotube effects on mitochondrial respiration: In silico nano-QSPR machine learning models based on new Raman …
The study of selective toxicity of carbon nanotubes (CNTs) on mitochondria (CNT-
mitotoxicity) is of major interest for future biomedical applications. In the current work, the …
mitotoxicity) is of major interest for future biomedical applications. In the current work, the …
RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci
Expansions of tandem repeats (TRs) cause approximately 60 monogenic diseases. We
expect that the discovery of additional pathogenic repeat expansions will narrow the …
expect that the discovery of additional pathogenic repeat expansions will narrow the …
Alignment-free method to predict enzyme classes and subclasses
R Concu, MNDS Cordeiro - International journal of molecular sciences, 2019 - mdpi.com
The Enzyme Classification (EC) number is a numerical classification scheme for enzymes,
established using the chemical reactions they catalyze. This classification is based on the …
established using the chemical reactions they catalyze. This classification is based on the …
Carbon nanotubes' effect on mitochondrial oxygen flux dynamics: Polarography experimental study and machine learning models using star graph trace invariants of …
This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass
flux (Jm) under three experimental conditions. New experimental results and a new …
flux (Jm) under three experimental conditions. New experimental results and a new …
[PDF][PDF] Degree-based multiplicative atom-bond connectivity index of nanostructures
There are a lot of nanomaterials and related chemical substances synthesized in the
laboratory every year, which makes the test of their performance has become a hard work …
laboratory every year, which makes the test of their performance has become a hard work …
The first eNanoMapper prototype: A substance database to support safe-by-design
The EU-funded eNanoMapper project proposes a computational infrastructure for
toxicological data management of engineered nanomaterials (ENMs) based on open …
toxicological data management of engineered nanomaterials (ENMs) based on open …