Aggscore
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Aggscore
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WebThe Schrödinger Platform. Unleash the possibilities of molecular design with a digital chemistry platform that is governed by physics, amplified by machine learning, and optimized through team-based intelligence. WebAggScore can accurately identify aggregation-prone regions in several well-studied proteins and also reliably predict changes in aggregation behavior upon residue mutation. The method is agnostic to an amyloid-specific aggregation context and thus may be applied to globular proteins, small peptides and antibodies.
WebToday's football fixtures and results, plus live scores, scorers, upcoming football matches and more at BT Sport, the home of live football on TV in the UK. WebFeb 26, 2013 · The python code for the reducer should look something like this (Here q is the key and the list of aggScores is the values) : def reduce (self, key, values, output, reporter): sum = 0 while values.hasNext (): sum += values.next ().get () output.collect (key, IntWritable (sum)) Share Improve this answer Follow edited Feb 26, 2013 at 8:00
WebFeb 1, 2024 · Citation 66–69 A specific prediction of the tendency to aggregation is the AggScore, Citation 70 which uses structural modeling to identify patches at risk of driving aggregation. Several methods have been developed to create so-called “developability indices” for antibodies and these tend to focus on aggregation propensity.
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