目前，科学家们只能很有限的预测药物不同配方的生物利用度。尽管有广阔的临床前数据的药物，我们利用已知的分子性质和制剂在体内的数据并不能完全预测到药物的溶解性能，使得药品在体内部分的变化引起整个研究项目的变化。需求者对两种配方的10个不同的药物分子已经收集了大量在体外和体内的数据，现在寻求一种模型，能够使用体外数据和仅有的的物化性质预测不同制剂在体内的性能。具体如下：（https://www.innocentive.com/ar/challenge/9933559）
The Seeker is looking for ideas on how to use a variety of properties of molecules, and simple laboratory tests on different formulations to predict the change in a drug’s pharmacokinetic performance in biological systems resulting from different formulations.
This is an Ideation Challenge with a guaranteed award for at least one submitted solution.
Source: InnoCentive Challenge ID: 9933559
Challenge Overview
Currently, scientists possess a limited ability to predict the bioavailability of different formulations of drugs despite vast pre-clinical data for the drugs. Utilizing measured properties of molecules and the dissolution performance of formulations to predict in vivo data is complex, and made more so by the inherent variability of in vivo data due partly to the variability of the test subjects. The Seeker has collected a significant amount of in vitro and in vivo data for two formulations each of 10 different molecules and would like Solvers to present ideas on how to use the in vitro data and simple molecular descriptors to predict the in vivo performance of different formulations.
This is an Ideation Challenge, which has the following unique features:
There is a guaranteed award. The awards will be paid to the best submission(s) as solely determined by the Seeker. The total payout will be $15,000, with at least one award being no smaller than $5,000 and no award being smaller than $1,000.
Submission forwarding occurs during the Challenge. Since submissions will be forwarded to the Seeker throughout the Challenge, please make sure you upload only a finished proposal. You can submit an updated version of your proposal only as a new submission. If you submit an updated version of your proposal,
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