2.2.2.01

Is Selectivity of Interactions Electromagnetic in Nature?

Irena Cosic BioElectronics group, Department of Electrical and Computer Systems Engineering, Monash University, P.O.Box 197, Caulfield East, Australia

Abstract: Protein interactions, which are mostly using the electron-ion interaction potential (EIIP) for each selective, are the basis of most biological processes [2]. The EIIP values describe the average enerry within the living cell or tissue. These interactions and states of valency electrons in the amino acid. Numerical their selectivity are interpreted in terms of the Resonant series obtained in this way are then transformed into the Recognition Model (RRII). The RRIVI proposes protein frequency domain using DFT. As amino acids in a protein bio active interactions to be resonant, electromagnetic, can be considered as equidistant with arbitrary distance of energy transfer between interacting . It also d:1, the maximum frequency in the spectrum is enables the characteristic, resonant frequency of this F:l/2d:0.5, while the resolution for an N-point sequence is eneryy transfer to be calculated. equal to 1A{. To determine the common frequency components for a INTRODUCTION group of protein sequences, the absolute values of multiple cross-spectral function coefftcients Mn were calculated as: :lXttrl.lxznl.. Each biological process involves a numbr of interactions lMnl lX*nl n:1,2,..',N/2 between proteins and their targets (other proteins, DNA where Xin is n-th DFT coefficient for the i-th series. Peak regulatory segments or small molecules). Each of these frequencies in the multiple cross-spectral function denote processes involves enerry transfer between interacting common frequency components for the analysed sequences. molecules. These interactions are highly selective and this Signal-to-noise ratio (SA{) for each peak was considered as selectivity is defined within the protein structure. However, a rneasure of similarity between analysed sequences. S/N the physical nature of these interactions is not yet well was calculated as the ratio between signal intensity at the understood. The most acceptåble model is the so called key- particular peak frequency and the spectrum mean value. and-lock model with selectivity of interactions based on The presence of a peak with significant SA{ in a multiple spatial complementarity between interacting molecules. cross-spectral function of a group of sequences with the With knowledge of more 3D structures of proteins and their sane biological function means that all of the analysed complexes rvith ligands it can be observed that spatial sequences within the group have this frequency component complementarity is not selective enough to be the sole in common. This frequenry is related to the biological parameter for protein interactions. function as it was found in previous investigations [2,3] On the other hand there is much evidence that biologlcal that: 1) such a peak exists only for the group of proteins processes can be induced or modulated by induction of light with the same biological function; 2) no significant peak of particular characteristic frequencies [l] This is caused exists for biologically unrelated proteins; 3) peak directly by light-induced changes of energy states of frequencies are different for different biological functions. molecules and in particular of proteins. The function of Furthermore, it was shown that the proteins and their some proteins is directly connected with absorption of targets have the same characteristic frequency in cornmon visibte light of defined rvavelengths as in the case of I2l. Thus, it can be postulated that RRM frequencies rhodopsins. The strong light absorption is due to the characterise not only general function but also recognition presence of a colour prosthetic group bound to the protein and interaction between a particular protein and its target. while the frequency selectivity of this absorption is defined by the amino acid sequence of the protein per se. In RESULTS AND DISCUSSION addition, there is evidence that light of a defined frequency can induce or enhance some biological processes which are Protein interactions can be considered as resonant enerry normally controlled by proteins only(ie. cell growth and transfer between interacting molecules. This enerry can be proliferation [1]). All these frequenry selective effects of transferred through oscillations of a physical fiel4 possibly light on biological processes of protein activation imply that electromagnetic in nature. Since there is evidence that protein activation involves energies of the same order and proteins have certain conducting or semiconducting nature as in electromagnetic irradiation of light. properties I4l, a charge, moving through the protein backbone and passing different enerry stages caused by METHOD: RESONANT RECOGNITION MODEL (RRI\O different amino acid side groups, can produce suffrcient conditions for a specific electromagnetic radiation or Biological function of proteins is determined primarily by absorption. The frequency range of this field depends on the linear sequence of their constitutive elements, ie. amino charge velocity estimated to be 7.87 x lO)m/s and on the acids. The RRM model interprets this linear information distance between amino acids in protein which is 3.8Ä. The using signal analysis methods 12,31. Initially, the amino frequggcy range obtained for protein interactions was 1013 acid sequences are transformed into a numerical series to l0r) llz 12,31. This estimated range includes IR, visible

Medical & Biological Engineering & Computing Vol. 34, Supplement 1, Part 2, 19go The 1st lnternationalConference on Bioelectromagnetism, June 9-13, 1996, Tampere, Finland 139 and UV light and is consistent with the linear correlation the measured value for the chymotrypsin activation. This between a) absorption characteristics of light absorbing result explicitly supports the idea that the RRM proteins and their characteristic RRM frequencies and b) characteristic frequencies represent specifi c electromagnetic frequency selective light effects on cell growth and oscillations within the infra-red and visible range which are characteristic RRM frequencies of growth factors 12,31. crucial for protein activity and interactions. This also These relationships were prwiously investigated by establishes linear correlation between the RRM frequency comparison of the absorption spectra of some groups of space and wavelengths of biologically effective light chromophore-bearing proteins (listed in Table 1) with their irradiation with correlation coefficient K:201. corresponding characteristic RRM frequencies. A linear In an additional example the light-specific photoreceptor correlation was obtained. A comparison of the optimal activation in plants have been interpreted in terms of the wavelengths for low-intensity light irradiation effect on cell RRM. The RRM proposes that proteins are activated with proliferation and RRM frequency characteristic of peptide the characteristic resonant frequencies. The RRM growth factors involved in cell proliferation (Table 1) characteristic frequencies of red/far-red mutants HY4 were revealed a linear correlation as well. Strikingly, this compared with the characteristic frequency of blue-light correlation exhibited the same coeffrcient (scaling factor) photoreceptors, photolyases. A clear distinction between K:201 (with STD:\4olo) between RRM frequency space red/far-red and blue-light receptors was found although and corresponding light wavelengths in nm [2,31. This their structures are similar. Additionally complete correlation can be represented as follows: agreement was achieved with previously established relation

l":K/f.r* between RRM frequencies and protein activating spectra . where 1. is the wavelength of light irradiation in nm which 25000 can influence a particular biological process (cell growth or cm-t light absorption), frr* is a numerical frequenry obtained 20000 with RRM and K is the estimated coefficient of the linear 15000 correlation obtained (Fig.l). All these results lead to the conclusion that specificity of protein interactions is based on 10000 the resonant electromagnetic energy transfer on a frequenry 5000 specific for each interaction observed. 0 Table l: growth fadors and lidrt absorbing proteins with their o o'1 o'4 o'5 actrvatrng trequenqes and ca ;ulated RRM nåia2 rr"qr"fä?"" protein function physical physical calculated K . Figure linear relation between RRM and physical frequancy space. orouD ferq. fnml freq. [cm-'l RRM freo. l. cvt c liqht abs. 415 [email protected] oA73 196 blue liqht abs. 430 73ffi.81 o.475 M CONCLUSION green liqht abs. 540 18518.51 0.365 191 red liqht abs. 570 17543.85 o.346 197 With this linear relation between the RRM and physical hem. liqht abs. 14770 677.W o.gz3 s frequency space established it is now possible to calculate purple lioht abs. 860 11627.9) a.m'l 241 flavodoxin lioht abs. 470 21276.W o.379 178 wavelengths of light inadiation which can be proposed to iqf growth M 25000 a.&2 196 inlluence other biological processes. The triggering or fqf qrowth 41.6 22644.92 o.453 m control of some biological processes in the cell by insulin qrowth ffi2 18115.94 o.344 189 irradiating them with light of a defined wavelength is then orourth f. 1 growth 633 15797.78 o.2s 185 also possible, and indeed it appears to occur. orowth f. 2 growth 60 15384.61 o.2s 190 pdsf grotVth 830 1M.19 o.242 m REFERENCES chvmotr. protease 851 11re0.88 o.236 m computed numerical ffi 25mO 0.5 m [1] Karu T.J., "Photobiological fundamentals of low-power Most supportive of this idea is the experiment described therapy, IEEE Journal of Quantum Electronics, QE- lry Biscar [5] where it was shown that protease activity of cr- 23, 1703-17l'7, 1987. chymotrypsin was significantly increased in presence of a [2]Cosic I., 1994, Macromolecular Bioactivity: Is It near infra-red beam of defined wavelength. Using the Resonant Interaction Between Macromolecules? - Theory relation between RRM frequency and light irradiation and Applications, IEEE Trans. on Biomedical Engineering, wavelenglh: }":K/frrr' previously obtained" the expected 41, I l0l-l114. light wavelength which can influence chymotrypsin t3l Cosic I., Vojisavljevic V., Pavlovic M., "The activation was calculated to be 851+15 nm. On the other Relationship of the Resonant Recognition Model to Effects hand" Biscar t5l has reported more than two fold of low-intensity light on cell growth", Int. J. Radiat. chymotrypsin activity increase under infra-red irradiation of Biolory, 56, 179-191, 1989. wavelength 855 nm. The activity of the enzyme was [a] Little W.A., "Possibility of Synthesizing an Organic unaffected (equal to the control without irradiation) outside Superconductor", Phys. Rew., 134, 6A\ 1416-1424, 1964. the range 850-860 nm. As can be observed from our [5] Biscar J.P., "Photon Enzyme Activation", Bull. Math., results, the light wavelength predicted by the RRM to be Biol.,38,29-38,1976. characteristic of chymotrypsin activation is exactly within

Medical& BiologicalEngineering & Computing Vol. 34, Supplement 1, Part 2, 1996 140 The 1st InternationalConference on Bioelectromagnetism, June 9-13, 1996, Tampere, Finland