Proteins are elaborate biopolymers balancing between contradicting intrinsic propensities to fold, aggregate or remain disordered. Assessing their primary structural preferences observable without evolutionary optimization has been reinforced by the recent identification of de novo proteins that have emerged from previously non-coding sequences. In this paper we investigate structural preferences of hypothetical proteins translated from random DNA segments using the standard genetic code and three of its proposed evolutionarily predecessor models encoding 10, 6 and 4 amino acids, respectively. Our only main assumption is that the disorder, aggregation and transmembrane helix predictions used are able to reflect the differences in the trends...
Using novel advances in computational chemistry, we demonstrate that the set of 20 genetically encod...
The standard genetic code (SGC) is central to molecular biology and its origin and evolution is a fu...
Abstract According to the molecular recognition theory, the complementarity of the sense and nonsens...
Proteins are elaborate biopolymers balancing between contradicting intrinsic propensities to fold, a...
To understand protein structure emergence is to comprehend the evolutionary transition from messy ch...
An infinitesimal fraction of the practically infinite sequence space has achieved enormous functiona...
Protein evolution is particularly shaped by the conservation of the amino acids' physico-chemical pr...
BACKGROUND: The genetic code is known to be efficient in limiting the effect of mistranslation error...
The genetic code shapes the genetic repository. Its origin has puzzled molecular scientists for over...
The genetic code is extremely old, predating the time of the most recent common ancestor of the thre...
BACKGROUND: Protein evolution is particularly shaped by the conservation of the amino acids' physico...
Correlation between random amino acid sequences and protein folds suggests that proteins autonomousl...
AbstractPresent-day proteins are believed to have evolved features to reduce the risk of aggregation...
In this work, computational tools are used to investigate three issues in evolutionary biochemistry....
This study is part of a project which aims to understand evolution of genetic code together with str...
Using novel advances in computational chemistry, we demonstrate that the set of 20 genetically encod...
The standard genetic code (SGC) is central to molecular biology and its origin and evolution is a fu...
Abstract According to the molecular recognition theory, the complementarity of the sense and nonsens...
Proteins are elaborate biopolymers balancing between contradicting intrinsic propensities to fold, a...
To understand protein structure emergence is to comprehend the evolutionary transition from messy ch...
An infinitesimal fraction of the practically infinite sequence space has achieved enormous functiona...
Protein evolution is particularly shaped by the conservation of the amino acids' physico-chemical pr...
BACKGROUND: The genetic code is known to be efficient in limiting the effect of mistranslation error...
The genetic code shapes the genetic repository. Its origin has puzzled molecular scientists for over...
The genetic code is extremely old, predating the time of the most recent common ancestor of the thre...
BACKGROUND: Protein evolution is particularly shaped by the conservation of the amino acids' physico...
Correlation between random amino acid sequences and protein folds suggests that proteins autonomousl...
AbstractPresent-day proteins are believed to have evolved features to reduce the risk of aggregation...
In this work, computational tools are used to investigate three issues in evolutionary biochemistry....
This study is part of a project which aims to understand evolution of genetic code together with str...
Using novel advances in computational chemistry, we demonstrate that the set of 20 genetically encod...
The standard genetic code (SGC) is central to molecular biology and its origin and evolution is a fu...
Abstract According to the molecular recognition theory, the complementarity of the sense and nonsens...