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SRC's BIODEG (BioWin) Program

The Biodegradation Probability Program for Windows (BIOWIN) calculates the probability that a chemical under aerobic conditions with mixed cultures of microorganisms will biodegrade rapidly or slowly. It uses fragment constants developed using multiple linear and non-linear regressions and data from SRC's data base of evaluation biodegradation data (EFDB BIODEG file). The results have been published in the following:

Howard, P.H., Boethling, R.S., Stiteler, W.M., Meylan, W.M., Hueber, A.E., Beauman, J.A., and M.E. Larosche. 1992. Predictive model for aerobic biodegradability developed from a file of evaluated biodegradation data. Environ. Toxicol. Chem. 11: 593-603.

Previous version 3 of the program added new expert survey data. The model uses a slight revision of the previous fragments and molecular weight to (a) calculate the probability of rapid biodegradation from the experimental data, and (b) estimate the primary and ultimate biodegradation times for complete degradation (days, weeks, months, longer) using the evaluations of 200 chemicals by 17 biodegradation experts. A description is available in the following journal article:

Boethling, R.S., Howard, P.H., Meylan, W., Stiteler, W., Beaumann, J. and N. Tirado. 1994. Group contribution method for predicting probability and rate of aerobic biodegradation. Environ. Sci. Technol. 28: 459-65.

BIOWIN v4.00 - March 2000

BIOWIN version 4 adds two new predictive models for assessing a chemical’s biodegradability in the Japanese MITI (Ministry of International Trade and Industry) biodegradation test. The new models use an approach similar to the linear/non-linear regression models already included in BIOWIN. The following journal article giving a complete description of the MITI Biodegradation models is being published:

Tunkel,J., Howard,P.H., Boethling,R.S., Stiteler,W. and Loonen,H. 2000. Predicting Ready Biodegradability in the MITI Test. Environ. Toxicol. Chem. accepted for publication.

Under its Chemical Substances Control Law (CSCL), the Japanese have tested approximately 900 discrete substances in the Ministry of International Trade and Industry (MITI)-1 test. This protocol for determining ready biodegradability is among six officially approved as ready biodegradability test guidelines of the OECD (Organization for Economic Cooperation and Development). A total dataset of 884 chemicals was compiled to derive the fragment probability values that are applied in this MITI Biodegradability method. The dataset consists of 385 chemical that were critically evaluated as "readily degradable" and 499 chemicals that were critically evaluated as "not readily biodegradable".

BIOWIN produces two separate MITI probability estimates for each chemical. The first estimate is based upon the fragments derived through linear regression. The second estimate is based upon the fragments derived through non-linear regression. Prediction accuracy of the training and validation sets are as shown below. The numbers correspond to correct predictions (either "readily degradable" or "not readily degradable"):

Training Set: Critically Evaluated as "Readily Degradable"
Linear Model: 201/254 (79.1%)
Non-Linear Model: 204/254 (80.3%)

Training Set: Critically Evaluated as "Not Readily Degradable"
Linear Model: 284/335 (84.8%)
Non-Linear Model: 284/335 (84.8%)

Training Set: TOTAL
Linear Model: 485/589 (82.3%)
Non-Linear Model: 488/589 (82.9%)

Validation Set: Critically Evaluated as "Readily Degradable"
Linear Model: 105/131 (80.2%)
Non-Linear Model: 103/131 (78.6%)

Validation Set: Critically Evaluated as "Not Readily Degradable"
Linear Model: 135/164 (82.3%)
Non-Linear Model: 135/164 (82.3%)

Validation Set: TOTAL
Linear Model: 240/295 (81.3%)
Non-Linear Model: 238/295 (80.7%)

The validation set is completely independent of the training set. Chemicals in the validation set were not used to derived any fragment values.

The newest version of BIOWIN runs under Windows (3.1, 95, 98, NT, 2000) making the estimation of biodegradation probability more convenient and accurate. Methods for chemical structure input now support SMILES notations as well as chemical structures produced in popular chemical drawing programs. Enhanced features of the Windows version include batch-mode data entry and user functions.

Example Entry / Results