paper-with-me

홈 › Papers

Different approaches to unveil biomolecule configurations and their mutual interactions

2020-01-13

A novel technique was demonstrated that overcome important drawbacks to crosslink cells by irradiation with ultrashort UV laser pulses (L-crosslinking). To use this technique coupled to Chromatin ImmunoPrecipitation (ChIP) in a high throughput context, a pre-screening fast method needs to be implemented to set up suitable irradiation conditions of the cell sample for efficient L-crosslinking with no final and long ChIP analysis. Here a fast method is reported where living human cells have been first transfected with a vector coding for Estrogen Receptor {\alpha} (ER{\alpha}), linked to Green Florescent protein (ER{\alpha}-GFP), so that the well-known interaction between the Estrogen Receptor Elements (ERE) region of the cell DNA and the ER{\alpha} protein can be detected by studying the fluorometric response of the irradiated cells. The damage induced to cells by UV irradiation is characterized by looking at DNA integrity, proteins stability and cellular viability. A second novel approach is presented to analyze or re-visit DNA and RNA sequences and their molecular configurations. This approach is based on methods derived from Chern-Simons super-gravity adapted to describe mutations in DNA/RNA strings, as well as interactions between nucleic acids. As a preliminary case we analyze the KRAS human gene sequence and some of its mutations. Interestingly, our model shows how the Chern-Simons current are capable to characterize the mutations within a sequence, in particular giving a quantitative indication of the mutation likelihood.

📄 PDF Abstract BibTeX arXiv:2002.02364

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Boltzmann generators for amorphous particle systems

2025-12-18 · Louis Grenioux, Leonardo Galliano, Ludovic Berthier, Giulio Biroli 외 arxiv

Sampling configurations in thermodynamic equilibrium is a long-standing challenge in statistical physics. Boltzmann generators address this problem by employing generative models to propose independent configurations, wh…

Graph Neural Network

New indicators for assessing the quality of in silico produced biomolecules: the case study of the aptamer-Angiopoietin-2 complex

2018-07-19

Computational procedures to foresee the 3D structure of aptamers are in continuous progress. They constitute a crucial input to research, mainly when the crystallographic counterpart of the structures in silico produced …

Specificity

DebiasedDTA: A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models

2021-07-04 · Rıza Özçelik, Alperen Bağ, Berk Atıl, Melih Barsbey 외

Computational models that accurately predict the binding affinity of an input protein-chemical pair can accelerate drug discovery studies. These models are trained on available protein-chemical interaction datasets, whic…

Drug DiscoveryEnsemble LearningPrediction

Graph Representation Learning for Interactive Biomolecule Systems

2023-04-05 · Xinye Xiong, Bingxin Zhou, Yu Guang Wang

Advances in deep learning models have revolutionized the study of biomolecule systems and their mechanisms. Graph representation learning, in particular, is important for accurately capturing the geometric information of…

Deep LearningDrug DiscoveryGraph Representation LearningRepresentation Learning

A new twist on PIFE: photoisomerisation-related fluorescence enhancement

2023-02-24 · Evelyn Ploetz, Benjamin Ambrose, Anders Barth, Richard Börner 외

PIFE was first used as an acronym for protein-induced fluorescence enhancement, which refers to the increase in fluorescence observed upon the interaction of a fluorophore, such as a cyanine, with a protein. This fluores…