Computational Molecular Biology

Protein physicochemical space

We investigate how fundamental physicochemical properties and sequence composition shape the organization of proteins and proteomes. In particular, we explore the relationship between isoelectric point (pI), molecular weight (MW), amino-acid composition, cellular localization and biological function, and how these patterns are conserved across evolution.

Proteome-wide analyses reveal a highly non-random organization of protein pI–MW space, including a recurrent depletion of proteins around neutral pI. Understanding which features emerge from protein chemistry and which reflect additional functional or evolutionary constraints may provide new insights into the principles governing proteome organization.

Molecular weight–isoelectric point landscape of the human reference proteome. Protein sequences from UniProt; MW and pI calculated from sequence.

Current direction: extending these analyses across thousands of public reference proteomes to investigate the evolutionary conservation and mechanistic basis of protein physicochemical organization.


SELECTED COMPUTATIONAL RESOURCES

COMPUTATIONAL SOFTWARES

Amanida

for the meta-analysis of non-integral data (p-values and fold-changes/trends) for any OMICS.
Github Amanida or CRAN.

–> Quantitative analysis (volcano plots) or Qualitative analysis (vote counting and explore plots)

doi: 10.1093/bioinformatics/btab591.
& Easy-Amanida: for the non-coders
doi: 10.1002/jrsm.1713
https://brui.shinyapps.io/easy-amanida/

Registered design:
Maria Llambrich. Design registered at SafeCreative w/ reference 2111229876715 (Nov 22, 2021).


GcDuo

the first open soucre full workflow for GCxGC data (from raw data to peak table)
in batch!


doi: 10.1093/bib/bbaf080

Registered design:
Raquel Cumeras. Design registered at BOIP w/reference 87508-01 (May 3, 2018).


MinEth

A machine-learning framework to predict the most likely human biofluid origin of metabolites from molecular descriptors and physicochemical properties.


DATA HARMONIZATION & ANALYTICAL TOOLS

Metabolites Merging Strategy

A systematic framework to harmonize multiple metabolite datasets for enhanced interstudy comparability in just three steps.


Life Fluids Knowledgebase

A cross-omic resource integrating molecular information across human biofluids to support exploration of their composition, distribution and biomedical relevance.

advmet.lifefluids.com

publication in preparation

Registered designs:
– Héctor Villalba, Raquel Cumeras. Design registered at SafeCreative w/ reference 2206131358555 (Jun 13, 2022).
– Maria Llambrich. Design registered at SafeCreative w/reference 2110269633500 (Oct 26, 2021).


Urine Volatilome Database

Volatiles found in human urine with headspace techniques coupled to gas chromatography – mass spectrometry.

https://doi.org/10.5281/zenodo.6883341