ɪn pɹˈæktɪs, ɪspˈɛʃəli wɛn hˈaɪɚ tˈɛmpɹɪtʃɚz ɑːɹ jˈuːzd, ðɪ ˈælɡɚɹˌɪθəm ɪnstˈɛd aɪdˈɛntᵻfˌaɪz ɐ smˈɔːl nˈʌmbɚɹ ʌv hˈaɪpɹˌɑːbəbˈɪlᵻɾi ɹˈoʊɾeɪmɚz æɾ ˈiːtʃ pəzˈɪʃən, ɐlˈaʊɪŋ ðə ɹɪzˈʌltɪŋ kɑːnfoːɹmˈeɪʃənz ɹˈɛlətˌɪv ˈɛnɚdʒiz tə ðˈɛn biː ɪnˈuːmɚɹˌeɪɾᵻd bˈeɪst ɔnðə pɹˌiːkəmpjˈuːɾᵻd ˈɛnɚdʒiz, nˌɑːt ˌɔn ðoʊz dᵻɹˈaɪvd fɹʌmðə mˈiːnfˈiːld ɐpɹˌɑːksɪmˈeɪʃən.
In practice, especially when higher temperatures are used, the algorithm instead identifies a small number of high-probability rotamers at each position, allowing the resulting conformations' relative energies to then be enumerated (based on the precomputed energies, not on those derived from the mean-field approximation).