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Biology subjects

Aditama, R.

Publications and source records attributed to Aditama, R..

3 recordsLinked to original sources

Thermodynamic principles govern evolutionary tradeoffs by regulating allostery

Allostery governs biological activities by signaling environmental cues at distal sites, however, the molecular basis for the orchestration and evolution of "the second secret of life" is evanescent. Seminal work sheds light embracing structure- and function-centric approaches, overlooking the widely accepted ensemble allosteric model based on a proteins free-energy landscape and the thermodynamic nature of allostery. Here, we unraveled allosteric regulation and its evolvability by examining energetic funnels of proteins harboring a highly evolvable ancient scaffold. We uncover intricate allosteric connectivities and their coordinated cross-talk to enable the statistical thermodynamic coupling. We decipher universal molecular determinants for the emergence of functions and environmental adaptability. Our integrative biophysical/statistical/evolutionary analysis ties the evolutionary forces via thermodynamic principles and decrypts how tradeoffs are settled at the molecular level. One-Sentence SummaryWe reveal how physical and evolutionary laws shaped the biophysical properties of proteins

biophysics↗

CROP: A CRISPR/Cas9 guide selection program based on mapping guide variants

The off-target effect, in which DNA cleavage was conducted outside the targeted region, is a major problem which limits the applications of CRISPR/Cas9 genome editing system. CRISPR Off-target Predictor (CROP) is standalone program developed to address this problem by predicting off-target propensity of guide RNAs and thereby allowing the user to select the optimum guides. The approach used by CROP involves generating substitution, deletion and insertion combinations which are then mapped into the reference genome. Based on these mapped variants, scoring and alignment are conducted and then reported as a table comprising the off-target propensity of all guide RNAs from a given gene sequence. The Python script for this program is freely available from: https://github.com/vaprilyanto/crop.

bioinformatics↗

High quality genome sequence reveals the 12 pseudo-chromosomes of Ganoderma boninense

Ganoderma boninense is the dominant fungal pathogen in causing Basal Stem Rot (BSR) disease on oil palm. The whole genome of this fungus was sequenced using PacBio RS II platforms to gain the whole-genome shotgun libraries. These libraries were smoothed with Illumina Hiseq 4000 paired end sequencing to polish the genome assembly. Subsequently, a combination of Dovetail Chicago and HiC libraries with the HiRise assembly pipeline revealed the 12 pseudo-chromosomes of G. boninense. This is the first report of chromosomal-scale genome assembly for the most important fungal pathogen on oil palm.

genomics↗