Kensei Yoshikawa

NS-398, a novel non-steroidal anti-inflammatory drug with potent analgesic and antipyretic effects, which causes minimal stomach lesions.

1. NS-398 (N-[2-cyclohexyloxy-4-nitrophenyl] methanesulfonamide) is a new non-steroidal anti-inflammatory drug (NSAID) with analgesic and antipyretic effects. 2. The anti-inflammatory potency of NS-398 in rat carrageenin-induced edema was as potent as that of indomethacin and 8 times more potent than diclofenac. In rat adjuvant arthritis, NS-398 showed a therapeutic effect comparable to that seen with loxoprofen but less than that seen with indomethacin and diclofenac. 3. The analgesic potency of NS-398 in rat adjuvant arthritic pain was much the same as that of indomethacin, and was about 3-5 times higher than that of diclofenac and loxoprofen. In the Randall-Selitto method in rats, NS-398 was 2-7 times as potent as loxoprofen, diclofenac and indomethacin. In acetic acid-induced writhing in mice, NS-398 was equipotent to indomethacin and diclofenac. 4. In LPS-induced fever in rats, NS-398 was 1.5-4.5 times as potent as loxoprofen and indomethacin, but less potent than diclofenac. 5. NS-398 produced little gastric ulceration in doses of up to 1000 mg/kg, while reference drugs produced distinct stomach lesions in doses of 10-30 mg/kg. 6. NS-398 inhibited prostaglandin (PG) endoperoxide synthase from sheep seminal vesicle microsomes less potent than that of ibuprofen.

Development of a Method for Evaluating Drug-Likeness and Ease of Synthesis Using a Data Set in Which Compounds Are Assigned Scores Based on Chemists' Intuition

The concept of drug-likeness, an important characteristic for any compound in a screening library, is nevertheless difficult to pin down. Based on our belief that this concept is implicit within the collective experience of working chemists, we devised a data set to capture an intuitive human understanding of both this characteristic and ease of synthesis, a second key characteristic. Five chemists assigned a pair of scores to each of 3980 diverse compounds, with the component scores of each pair corresponding to drug-likeness and ease of synthesis, respectively. Using this data set, we devised binary classifiers with an artificial neural network and a support vector machine. These models were found to efficiently eliminate compounds that are not drug-like and/or hard-to-synthesize derivatives, demonstrating the suitability of these models for use as compound acquisition filters.

A New Convenient Synthesis of α-Arylpropionic Acid Esters and α-Arylpropionitriles

Abstract Various types of α-arylpropionic acid esters were effectively obtained by the coupling reaction of aryl Grignard reagents and α-bromopropionic acid esters in the presence of nickel catalysts. α-Arylpropionitriles, precursors of α-arylpropionic acids, were also synthesized by the reaction of α-methanesulfonyloxypropionitrile and arylcopper reagents prepared from equimolar amount of arylmagnesium halides and copper(I) bromide.